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Department Customer CARE Our Company Promise We are committed to provide our Employees a stable work environment with equal opportunity for learning and personal growth. Creativity and innovation are encouraged for improving the effectiveness of Southwest Airlines. Above all, Employees will be provided the same concern, respect, and caring attitude within the organization that they are expected to share externally with every Southwest Customer. Job Description As a CARE AI Prompt Design Consultant, you'll help shape the AI-powered experiences that connect Southwest's Customer-first values with the tools Customers and Employees use every day. You'll lead prompt strategy, design, testing, and continuous improvement across voice, chat, email, and digital servicing channels, helping ensure AI-generated responses are accurate, clear, helpful, and aligned with Southwest policies and service standards. Partnering closely with frontline Teams, Customer CARE Operations, Digital, Customer Experience, Commercial, Quality, Knowledge Management, Technology, and AI product Teams, you'll translate real-world servicing needs into effective prompts, guardrails, testing practices, and scalable governance. You'll use performance data and feedback to strengthen response quality, simplify complex interactions, and help Employees use AI-enabled tools responsibly and confidently. Your work will help Southwest innovate thoughtfully while creating more consistent experiences and delivering the Hospitality our Customers count on. Additional Details The culture of Southwest Airlines means we value the camaraderie, collaboration, and innovation that occurs when we come together and interact face-to-face at our vibrant Corporate Campus. Due to the nature of this role, you would be required to work from our Dallas, TX Headquarters facility during business hours. U.S. citizenship or current authorization to work in the U.S. required and no current or future work authorization sponsorship available. We're committed to fair hiring practices and to making employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, military or veteran status, disability, genetic information, or other legally protected characteristics. Responsibilities Lead prompt strategy, design, testing, optimization, and ongoing management for Customer CARE AI experiences across voice, chat, email, and digital servicing channels to improve clarity, accuracy, containment, self-service success, Representative confidence, and the overall Customer experience Design, document, and maintain prompt libraries, reusable frameworks, response patterns, and channel-specific standards Establish prompt governance, change control, quality criteria, testing protocols, and review cadences that support responsible AI use Partner with Customer CARE Operations, Digital, Customer Experience, Commercial, Quality, Knowledge Management, Technology, and AI product teams to align prompts with policies, procedures, experience design requirements, Customer needs, and Representative workflows Evaluate AI-generated responses for accuracy, completeness, clarity, tone, brand alignment, policy compliance, escalation appropriateness, and usefulness to Customers and Representatives Analyze AI performance data, quality reviews, Customer feedback, Representative feedback, and operational outcomes to identify prompt improvement opportunities Lead scenario testing, A/B testing, and regression testing to improve AI response quality, consistency, and reliability Translate business needs, servicing policies, disruption procedures, and Customer scenarios into prompt structures, grounding requirements, guardrails, knowledge retrieval behavior, and escalation logic Develop documentation, reporting, recommendations, training, and change support that help Leaders and Employees use AI-enabled tools effectively and responsibly Monitor emerging AI capabilities, prompt engineering techniques, and conversational design practices to identify innovation opportunities while maintaining quality, consistency, compliance, and Southwest's Customer-first service standards May perform other job duties as directed by Employee's Leaders Knowledge, Skills And Abilities Advanced knowledge of prompt engineering principles, conversational design methods, generative AI capabilities, and AI response optimization practices Advanced knowledge of Customer CARE operations, contact center environments, Customer servicing procedures, and Customer experience expectations Knowledge of large language model behavior, grounding, retrieval, response guardrails, prompt testing, and iterative optimization methods Skilled in designing and refining prompts that produce accurate, relevant, clear, and consistent AI-generated responses Skilled in evaluating AI-generated content for quality, usefulness, tone, brand alignment, policy compliance, and escalation appropriateness Skilled in translating complex policies, Customer scenarios, disruption procedures, and Representative workflows into structured prompt and conversational requirements Skilled in analyzing performance metrics, quality insights, Customer and Representative feedback, and operational data to identify improvement opportunities Skilled in documenting prompt standards, test plans, decision logic, prompt libraries, governance processes, and recommendations Ability to communicate AI concepts, risks, and recommendations to technical and non-technical audiences Ability to balance Customer and Employee experience objectives, operational requirements, compliance considerations, and business priorities while building alignment across business and Technology teams Education Required: High School Diploma or GED Experience Advanced level experience, seasoned and specialized knowledge in: Prompt engineering, conversational AI, generative AI, or AI-enabled Customer experience design Customer CARE, contact center operations, Customer service, or Customer experience management Testing, quality evaluation, optimization, and continuous improvement of AI-enabled experiences Customer-facing or Employee-facing digital servicing tools across voice, chat, email, or related channels Knowledge management, conversational design, content strategy, or Customer communication standards Cross-functional consultation, governance, documentation, training, or scalable operating models Preferred: Experience with Salesforce Preferred: Experience with Amazon Web Services Connect Licensing/Certification N/A Physical Abilities Ability to perform work duties from limited space workstation/desk/office area for extended periods of time Ability to communicate and interact with others in the English language to meet the demands of the job Ability to use a computer and other office productivity tools with sufficient speed and accuracy to meet the demands of the job Other Qualifications Must maintain a well-groomed appearance per Company appearance standards as described in established guidelines Must be a U.S. citizen or have authorization to work in the United States as defined by the Immigration Reform Act of 1986 Must be at least 18 years of age Must be able to comply with Company attendance standards as described in established guidelines Pay & Benefits Competitive market salary from $119,900 per year to $133,200 per year depending on qualifications and experience. For eligible Leadership and individual contributor roles, additional bonus opportunities are available and awarded at the discretion of the Company. Benefits you'll love Fly for free, as a privilege, on any open seat on all Southwest flights (your eligible dependents too) Southwest will help fund your Retirement Savings Plan, which includes a dollar-for-dollar 401(k) Company match contribution of up to 9.3% of your eligible earnings Potential for annual profit-sharing contribution in the Southwest Retirement Savings Plan—when Southwest profits, you profit** Competitive health insurance for you and your eligible dependents Southwest offers health plan coverage options that start from the very first day of employment. You'll have 30 days to select and enroll in your health plan, and coverage will be retroactively available to your first day of employment. Explore more benefits you'll love: https://careers.southwestair.com/benefits Pay amount doesn't guarantee employment for any particular period. 401(k) Company match contributions are subject to the plan's vesting schedule. Match contributions may vary based on the position. Profit-sharing contributions are subject to the Retirement Savings Plan vesting schedule and are made at the discretion of the Company. Southwest Airlines is an Equal Opportunity Employer. Please print/save this job description because it won't be available after you apply. Job Posting End Date 10/29/2026

Prompt Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: Prompt Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $76,000–$99,000 Annually Experience Required: 8+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary We are looking for a Prompt Engineer to define and lead the strategy, patterns, and tooling for designing prompts, agentic workflows, and LLM-based application architectures across the organization. The role combines deep practical mastery of modern LLMs with the discipline of building reusable design patterns, evaluation frameworks, and developer tooling that scale across many teams and use cases. The ideal candidate has shipped LLM-powered products in production, is fluent in prompt design patterns and agent architectures, and brings strong judgment about when and how to apply different LLM techniques responsibly. Required Qualifications Bachelor's or Master's degree in Computer Science, Computational Linguistics, or a related field Six or more years of software engineering experience, with significant time on LLM-based applications Demonstrated experience shipping LLM-powered products to production Deep familiarity with modern LLM APIs and agent frameworks Strong understanding of retrieval-augmented generation, embeddings, and vector databases Experience designing evaluation pipelines for non-deterministic systems Strong Python skills and comfort with modern application frameworks Solid grasp of responsible AI principles, including safety and policy considerations Excellent written and verbal communication skills Track record of mentoring engineers and influencing technical direction Preferred Qualifications Public writing, talks, or open-source contributions on LLM application development Experience with multi-agent architectures and complex tool-use systems Familiarity with fine-tuning workflows and when to choose them over prompting Exposure to product domains such as customer support, coding assistants, or analytics agents Experience integrating LLMs into enterprise software systems with strict compliance requirements How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to hilda@bvteck.com. Learn more about Bright Vision Technologies at www.bvteck.com. Bright Vision Technologies is an Equal Opportunity Employer. Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment. Powered by JazzHR dvGsD8rNNK

Why Wells Fargo Are you looking for more? Find it here. At Wells Fargo, we're more than a financial services leader – we're a global trailblazer committed to driving innovation, empowering communities, and helping our customers succeed. We believe that a meaningful career is much more than just a job – it's about finding all of the elements to help you thrive, in one place. Living the Well Life means you're supported in life, not just work. It means having robust benefits, competitive compensation, and programs designed to help you find work-life balance and well-being. You'll be rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. And we're recognized for it – Wells Fargo once again ranked in the top three – making us the #1 financial services employer – on the 2025 LinkedIn Top Companies list of best workplaces "to grow your career" in the U.S. Join us! About This Role Wells Fargo is seeking a Lead AI Workflow Designer & Prompt Architect to design, develop, and optimize AI-powered workflows using large language models (LLMs), AI agents, and orchestration frameworks to solve complex business challenges. This role combines strategic problem framing, prompt engineering, workflow architecture, and technical implementation to deliver scalable, reliable AI solutions aligned with business needs. This individual bridges business objectives and AI execution by translating ambiguous challenges into structured, multi-step workflows that coordinate prompts, tools, context, data, and agent interactions. The role requires strong analytical and technical skills to independently assess system behavior, prototype solutions, troubleshoot workflow issues, and improve AI performance through experimentation and operational insights. In This Role, You Will Partner with business, product, technology, and operations teams to understand business challenges and identify opportunities to leverage AI and agentic solutions. Translate business problems into structured AI workflow designs that break complex tasks into logical stages and execution paths. Design, develop, and optimize multi-step prompt workflows that enable AI agents to perform reasoning, decision support, content generation, analysis, and task execution activities. Define workflow architecture including prompts, context requirements, tool interactions, orchestration logic, handoffs, dependencies, and output requirements. Determine how information, memory, context, and intermediate outputs should be managed throughout workflow execution. Design and maintain prompt libraries, reusable workflow templates, and orchestration patterns that can be leveraged across multiple business use cases. Collaborate with product and engineering teams to integrate AI workflows into enterprise applications and business processes. Analyze workflow execution logs, model outputs, and intermediate agent responses to identify root causes of failures, performance degradation, or inconsistent results. Troubleshoot issues related to prompt design, context management, agent behavior, tool integrations, data pipelines, file structures, APIs, and execution environments. Evaluate workflow effectiveness using qualitative and quantitative measures and implement improvements to increase reliability, accuracy, efficiency, and user outcomes. Improve context engineering strategies to optimize information retrieval, grounding, memory management, and response quality. Develop lightweight automation, scripts, and utilities to support workflow development, experimentation, testing, evaluation, monitoring, and operational efficiency. Perform data inspection, transformation, validation, and analysis activities to support AI workflow development and troubleshooting. Prototype innovative solutions rapidly when existing tools, workflows, or capabilities do not fully address a business need. Contribute to AI governance, risk management, quality assurance, and responsible AI practices by ensuring workflows operate within established standards and controls. Stay informed on emerging AI technologies, agent frameworks, orchestration platforms, prompt engineering techniques, and industry best practices. Required Qualifications 5+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications Experience designing, implementing, and optimizing multi-step LLM, generative AI, and agentic workflows. Strong problem-solving skills with the ability to translate complex business challenges into scalable AI solutions. Expertise in prompt engineering, human-in-the-loop workflows, and AI performance optimization. Ability to troubleshoot and diagnose issues across prompts, agents, context management, integrations, and workflow execution. Proficiency in Python, APIs, JSON, Markdown, and working with structured and unstructured data. Experience using AI-assisted development tools such as GitHub Copilot, Claude Code, Cursor, or similar platforms. Knowledge of agent orchestration frameworks, multi-agent architectures, and modern workflow orchestration patterns. Understanding of RAG, context engineering, memory management, tool calling, and agent planning methodologies. Experience integrating AI solutions with enterprise applications, automation platforms, cloud AI services, and business processes. Strong communication, collaboration, governance, risk, and responsible AI expertise, including evaluation, monitoring, compliance, and operational controls Job Expectations This position is NOT eligible for Visa sponsorship. Ability to work on site per Wells Fargo's standard operating model in the listed location (hybrid schedule – 3 days on-site & 2 remote). The ability to travel up to 10% of the time. Posting Location: Charlotte, NC Irving, NC Chandler, AZ The Chief Operations Office (COO) functions adhere to a location strategy; therefore, your candidacy may be determined based on your current location. Remote work locations are not available for these roles, so if you are not in a location listed on the posting, you must commit to self-relocation within an agreed upon timeframe. ** Posting End Date 29 Oct 2026 Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants With Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo. Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment And Hiring Requirements Third-Party recordings are prohibited unless authorized by Wells Fargo. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process. Reference Number R-579912-2

Archer is collaborating with Leo Technologies to connect them with exceptional professionals for this role. Description GET TO KNOW US: LeoTech is leading the effort to assist public safety efforts around the nation. We bring industry expertise and innovative technology to address real-world problems public safety agencies face every day. Our search and analytics platform, Verus, has been used to assist in homeland security, provide assistance for mental health, and increase safety and awareness of public safety. Everything we do and build is aligned with our mission and the goals of our public safety partners. We work hand-in-hand to build technology solutions that drive the future of public safety. ROLE As an AI/NLP Engineer on our Data Science team, you will be at the forefront of leveraging Large Language Models (LLMs) and cutting-edge AI techniques to create transformative solutions for public safety and intelligence workflows. You will apply your expertise in LLMs, Retrieval-Augmented Generation (RAG), semantic search, Agentic AI, GraphRAG, and other advanced AI solutions to develop, enhance, and deploy robust features that enable real-time decision-making for our end users. You will work closely with product, engineering, and data science teams to translate real-world problems into scalable, production-grade solutions. This is an individual contributor (IC) role that emphasizes technical depth, experimentation, and hands-on engineering. You will participate in all phases of the AI solution lifecycle, from architecture and design through prototyping, implementation, evaluation, productionization and continuous improvement. Requirements WHAT YOU CAN EXPECT Design, build, and optimize AI-powered solutions using LLMs, RAG pipelines, semantic search, GraphRAG, and Agentic AI architectures. Implement and experiment with the latest advancements in large-scale language modeling, including prompt engineering, model fine-tuning, evaluation, and monitoring. Collaborate with product, backend, and data engineering teams to define requirements, break down complex problems, and deliver high-impact features aligned with business objectives. Inform robust data ingestion and retrieval pipelines that power real-time and batch AI applications using open-source and proprietary tools. Integrate external data sources (e.g., knowledge graphs, internal databases, third-party APIs) to enhance the context-awareness and capabilities of LLM-based workflows. Evaluate and implement best practices for prompt design, model alignment, safety, and guardrails for responsible AI deployment. Stay on top of emerging AI research and contribute to internal knowledge-sharing, tech talks, and proof-of-concept projects. Author clean, well-documented, and testable code; participate in peer code reviews and engineering design discussions. Proactively identify bottlenecks and propose solutions to improve system scalability, efficiency, and reliability. What We Value Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 5+ years of hands-on experience in applied AI, NLP, or ML engineering (with at least 2 years working directly with LLMs, RAG, semantic search and Agentic AI). Deep familiarity with LLMs (e.g. OpenAI, Claude, Gemini), prompt engineering, and responsible deployment in production settings. Experience designing, building, and optimizing RAG pipelines, semantic search, vector databases (e.g. ElasticSearch, Pinecone), and Agentic or multi-agent AI workflows in in large scale production setup. Exposure to MCP and A2A protocol is a plus. Exposure to GraphRAG or graph-based knowledge retrieval techniques is a strong plus. Strong proficiency with modern ML frameworks and libraries (e.g. LangChain, LlamaIndex, PyTorch, HuggingFace Transformers). Ability to design APIs and scalable backend services, with hands-on experience in Python. Experience building, deploying, and monitoring AI/ML workloads in cloud environments (AWS, Azure) using services like AWS SageMaker, AWS Bedrock, AzureAI, etc. Experience with tools to load balance different LLMs providers is a plus. Familiarity with MLOps practices, CI/CD for AI, model monitoring, data versioning, and continuous integration. Demonstrated ability to work with large, complex datasets, perform data cleaning, feature engineering, and develop scalable data pipelines. Excellent problem-solving, collaboration, and communication skills; able to work effectively across remote and distributed teams. Proven record of shipping robust, high-impact AI solutions, ideally in fast-paced or regulated environments. What's In It For You Continuous learning environment. Opportunity to communicate and work with people of all technical levels in a team environment. Grow as you are given feedback and incorporate it into your work. Be part of a self-managing team that enjoys support and direction when required. 3 weeks of paid vacation. Competitive Salary. Generous medical, dental, and vision plans. Sick and paid holidays are offered. Work with talented and collaborative co-workers Work in a dynamic and fast-paced environment with challenging problems to solve. Enjoy great team camaraderie, whether at our client locations or working remotely. Modern technologies and tools. LeoTech recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law.

Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture. About Superhuman Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company's products include Grammarly's writing assistance, Coda's collaborative workspaces, Mail's inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here. The Opportunity We are building a platform for AI Agents to come together and solve arbitrarily complex tasks, leveraging Superhuman ubiquitous UI. As a Machine Learning Engineer on this team, you will be at the heart of our company's transformation. Shape the Future of Productivity: Play a pivotal role in evolving Grammarly from a beloved writing assistant into an indispensable, AI-native productivity suite for enterprises. Build a Groundbreaking AI Agent Platform: Spearhead the development of a new platform where multiple AI agents collaborate to solve complex user problems. You will be responsible for the core orchestration, routing, and planning systems. Own Critical ML Systems: Develop and deploy sophisticated ML models for core product experiences, including search ranking and proactive suggestions that anticipate user needs. Integrate Cutting-Edge AI: Work at the forefront of the AI landscape, building ML components that integrate with the latest and most powerful models to create magical user experiences. Thrive in a High-Impact Environment: Join a foundational team where you will operate with a high degree of autonomy and product sense in a fast-paced, ambiguous environment. Ship Your Work Fast: Move quickly from idea to impact. We have no red tape or endless approvals—just a focus on making meaningful contributions to a platform used by millions. What You'll Work On The core orchestration. Users connect many apps and agents, and their requests can take many steps. Some steps run in the background while nobody is watching. You'll own how the agent plans the work, picks the right agent or tool for each step, and sees long tasks through to the end. Memory and action. You'll keep long conversations useful, and decide what the agent should remember about a user. The agent also takes actions for users, and you'll widen what it can do while keeping the user in control. Search and proactive suggestions. The answer is often spread across a user's email, messages and documents. You'll build the ML models that find it and rank it. You'll also build the suggestions that point out what matters before the user asks. Quality, speed and cost. Every change has to prove it helps before it ships, so designing evals is as much a part of the job as designing models. You'll also make the agent faster and cheaper to run without making its answers worse. Qualifications MS / PhD in Computer Science. 5+ years of industry experience as a machine learning engineer or applied research scientist. A deep understanding of modern algorithms and approaches to ML, NLP, and LLMs. Experience building LLM-based products. A deep care about the end-user experience and strives to ensure high quality. Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments. We invite you to share your knowledge, experience, and goals with us to help us find the best team match for you. Tell us your superpower! Compensation And Benefits Superhuman offers all team members competitive pay along with a benefits package encompassing the following and more: Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits) Disability and life insurance options 401(k) and RRSP matching Paid parental leave 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time Generous stipends (including those for caregiving, pet care, wellness, your home office, and more) Annual professional development budget and opportunities Superhuman takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations. We encourage you to apply At Superhuman, we value our differences, and we encourage all to apply—especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Superhuman is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada). Compensation Range: $250K - $385K

We're looking for a Generative AI & RAG Engineer with experience with large scale enterprise data platforms for a government agency located in the Washington DC metro area. This is a remote position; however, staff may be required to report onsite periodically based on client and business requirements. Position is contingent upon contract award. Overview: Engineers secure, agentic AI pipelines and LLM solutions to search policy, legal, and operational catalogs securely. Key Responsibilities Architect and fine-tune Retrieval-Augmented Generation (RAG) pipelines over multi-thousand-page maritime regulatory documents. Deploy autonomous AI agents inside secure guardrails to automate cross-referencing of legal, financial, and logistical catalogs. Develop custom prompts, evaluate token efficiencies, and integrate secure APIs with GenAI.mil and platform-level infrastructure. Required Qualifications 4+ years developing production-grade NLP architectures and embedding models. Deep experience with vector databases (e.g., Pinecone, Milvus, Chroma) and framework toolkits like LangChain or LlamaIndex. Clear understanding of LLM security vulnerabilities, prompt injection mitigation, and automated filtering safeguards. Additional Requirements Must be able to pass a federal background investigation prior to starting work and maintain eligibility throughout the engagement. Salary range for this position is $145,000.00 - $180,000.00 Work Authorization: Government customer requires U.S. citizenship to work on the program. Candidates must be authorized to work in the United States. Synectics is an equal opportunity employer. Salary: $145000.00 - $180000.00 per year

Career Area Technology, Digital and Data Job Description Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. As an AI Engineer, you will design, develop, and optimize advanced AI interactions to power production-grade software applications. You will move beyond basic prompt drafting to build robust, scalable, and reliable AI systems utilizing state-of-the-art Large Language Models (LLMs). Your role is critical in orchestrating autonomous AI agents, implementing Retrieval-Augmented Generation (RAG) pipelines, and establishing rigorous testing and observability frameworks . You will bridge the gap between complex business logic and machine intelligence, ensuring high-quality, safe, and deterministic AI behaviors. What You Will Do Prompt Architecture & Tuning Design Advanced Prompts: Architect, version, and refine highly effective system, contextual, and dynamic prompts using advanced techniques (e.g., Chain-of-Thought, Tree-of-Thoughts, ReAct, Few-Shot learning). Mitigate Risks: Minimize model hallucinations, jailbreaking, and prompt injections through programmatic guardrails and robust adversarial prompting strategies. Model Agnostic Tuning: Adapt, benchmark, and fine-tune prompt structures across diverse open-source and proprietary frontier models. Agentic Workflows & RAG Systems Build AI Agents: Design and orchestrate multi-agent systems and multi-step reasoning workflows using frameworks like LangGraph, LangChain. Optimize RAG Pipelines: Integrate and fine-tune Retrieval-Augmented Generation architectures, managing semantic search, chunking strategies, embedding models, and vector database queries. Tool Execution: Implement precise function-calling and tool-use prompts enabling LLMs to interact reliably with external APIs, databases, and legacy codebases. Testing, Evaluation & Observability Build automated testing suites using RAGAS and Evals frameworks to assess RAG accuracy and enable continuous validation and benchmarking of Retrieval‑Augmented Generation outputs across datasets and Models . Agent Testing: Build automated regression testing suites and CI/CD pipelines to validate prompt stability, agent trajectory correctness, and tool-calling accuracy. Implement LLM Observability: Set up production monitoring and observability systems using platforms like Azure Application insights, Microsoft Foundry. Monitor Metrics: Track, analyze, and optimize production runtime metrics including semantic drift, token usage, cost efficiencies, and end-to-end latency. Collaboration & Continuous Innovation Cross-Functional Delivery: Work alongside Product Managers, Data Scientists, and Software Engineers to translate commercial requirements into deterministic AI capabilities. Technology Scouting: Keep pace with rapid weekly advancements in LLM capabilities, evaluation frameworks, and orchestration libraries to sustain a competitive edge. What You Have Core Prompt Engineering: Expert-level mastery of structured prompt formats (XML, JSON wrappers), system-level steering, and context-window optimization. Production Programming: High proficiency in Python or TypeScript for constructing backend AI logic, processing asynchronous data streams, and handling API integrations. Orchestration Frameworks: Hands-on experience building apps using LangChain, LangGraph, native SDKs. Vector Infrastructure: Solid experience working with vector databases (e.g., Azure AI Search, AWS Open Search) and hybrid search retrieval methods. Data & ML Fundamentals: Strong capabilities in data manipulation (Pandas, NumPy), data cleaning, token handling, and foundational understanding of NLP transformers. Top Candidates Will Have AI Observability Stacks: Prior implementation of Application Insights, OpenLLMetry, or custom evaluation/guardrail layers. Machine Learning Systems: Knowledge of deep learning architectures, fine-tuning frameworks (QLoRA, PEFT), and platforms like Hugging Face, PyTorch, or TensorFlow. Cloud Infrastructure: Experience deploying containerized AI microservices using Docker, Kubernetes, AWS, or GCP. Education: Bachelor's or master's degree in computer science, Data Science, Artificial Intelligence, Computational Linguistics, Mathematics, or a highly technical discipline. Experience: 2+ years of dedicated professional experience developing production software integrated with GenAI/LLM pipelines. Track Record: Proven portfolio demonstrating successfully deployed RAG systems or operational AI agents in commercial environments. Additional Info The required location for this role is East Peoria-IL, Irving-TX About Caterpillar – For more than a century, Caterpillar has helped build a better, more sustainable world. With 2025 sales and revenues of $67.6 billion, Caterpillar Inc. is shaping the future as the world's leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. Backed by one of the largest independent global dealer networks and financing services through Cat Financial, the company's primary business segments: Power & Energy, Construction Industries and Resource Industries are solving customers' toughest challenges through commercial excellence and advanced technology, driven by a highly skilled, dedicated global team. Learn more at www.caterpillar.com. Summary Pay Range $97,530.00 - $158,480.00 Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar. Benefits Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits. Medical, dental, and vision benefits Paid time off plan (Vacation, Holidays, Volunteer, etc.) 401(k) savings plans Health Savings Account (HSA) Flexible Spending Accounts (FSAs) Health Lifestyle Programs Employee Assistance Program Voluntary Benefits and Employee Discounts Career Development Incentive bonus Disability benefits Life Insurance Parental leave Adoption benefits Tuition Reimbursement These benefits also apply to part-time employees This position requires working onsite five days a week. Visa Sponsorship is not available for this position. Posting Dates October 27, 2026 - November 8, 2026 Any offer of employment is conditioned upon the successful completion of a drug screen. Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply. Not ready to apply? Join our Talent Community.

Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture. About Superhuman Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company's products include Grammarly's writing assistance, Coda's collaborative workspaces, Mail's inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here. The Opportunity We are building a platform for AI Agents to come together and solve arbitrarily complex tasks, leveraging Superhuman ubiquitous UI. As a Machine Learning Engineer on this team, you will be at the heart of our company's transformation. Shape the Future of Productivity: Play a pivotal role in evolving Grammarly from a beloved writing assistant into an indispensable, AI-native productivity suite for enterprises. Build a Groundbreaking AI Agent Platform: Spearhead the development of a new platform where multiple AI agents collaborate to solve complex user problems. You will be responsible for the core orchestration, routing, and planning systems. Own Critical ML Systems: Develop and deploy sophisticated ML models for core product experiences, including search ranking and proactive suggestions that anticipate user needs. Integrate Cutting-Edge AI: Work at the forefront of the AI landscape, building ML components that integrate with the latest and most powerful models to create magical user experiences. Thrive in a High-Impact Environment: Join a foundational team where you will operate with a high degree of autonomy and product sense in a fast-paced, ambiguous environment. Ship Your Work Fast: Move quickly from idea to impact. We have no red tape or endless approvals—just a focus on making meaningful contributions to a platform used by millions. What You'll Work On The core orchestration. Users connect many apps and agents, and their requests can take many steps. Some steps run in the background while nobody is watching. You'll own how the agent plans the work, picks the right agent or tool for each step, and sees long tasks through to the end. Memory and action. You'll keep long conversations useful, and decide what the agent should remember about a user. The agent also takes actions for users, and you'll widen what it can do while keeping the user in control. Search and proactive suggestions. The answer is often spread across a user's email, messages and documents. You'll build the ML models that find it and rank it. You'll also build the suggestions that point out what matters before the user asks. Quality, speed and cost. Every change has to prove it helps before it ships, so designing evals is as much a part of the job as designing models. You'll also make the agent faster and cheaper to run without making its answers worse. Qualifications MS / PhD in Computer Science. 5+ years of industry experience as a machine learning engineer or applied research scientist. A deep understanding of modern algorithms and approaches to ML, NLP, and LLMs. Experience building LLM-based products. A deep care about the end-user experience and strives to ensure high quality. Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments. We invite you to share your knowledge, experience, and goals with us to help us find the best team match for you. Tell us your superpower! Compensation And Benefits Superhuman offers all team members competitive pay along with a benefits package encompassing the following and more: Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits) Disability and life insurance options 401(k) and RRSP matching Paid parental leave 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time Generous stipends (including those for caregiving, pet care, wellness, your home office, and more) Annual professional development budget and opportunities Superhuman takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations. We encourage you to apply At Superhuman, we value our differences, and we encourage all to apply—especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Superhuman is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada). Compensation Range: $250K - $385K

Location: Hybrid, 1 day/week onsite (Dallas or Mountain View) 8–10-year experience Any visa will work Key Requirements Strong hands-on experience building GenAI and LLM-based applications. Experience with RAG (Retrieval Augmented Generation) architecture and AI assistants. Expertise in Prompt Engineering, LLM fine-tuning, evaluation, and model optimization. Strong Python development skills with production-level application experience. Experience with LangChain, LlamaIndex, and Vector Databases. Knowledge of conversational guardrails, AI safety, response validation, and hallucination prevention. Experience deploying scalable AI solutions in AWS or Google Cloud Platform environments.

JOB DESCRIPTION As a Senior Generative AI Engineer, you will lead the design, development, and deployment of production-grade AI solutions. You aren't just building prototypes; you are architecting scalable RAG systems, fine-tuning models for specific domain expertise, and ensuring that GenAI capabilities integrate seamlessly into enterprise-level applications. Key Responsibilities: LLM Orchestration : Design and deploy sophisticated LLM-based applications using frameworks such as LangChain, LlamaIndex, or Semantic Kernel. Model Optimization : Lead the fine-tuning of open-source and proprietary models to improve performance, latency, and cost-efficiency. Advanced RAG Systems : Architect and optimize Retrieval-Augmented Generation (RAG) pipelines utilizing vector databases like Pinecone, FAISS, Weaviate, or Azure AI Search. Scalable Deployment : Containerize services using Docker and deploy via FastAPI and Azure Functions to ensure high availability and low latency. Productization : Build and scale enterprise-grade chatbots, copilots, and automated content generation tools using OpenAI/Azure OpenAI and Hugging Face. Prompt Engineering : Implement and manage advanced prompt optimization and versioning workflows to enhance model accuracy. Monitoring & Evaluation : Establish robust evaluation frameworks (e.g., RAGAS, TruLens) to track model performance, hallucination rates, and drift in production. Operationalization : Collaborate with cross-functional teams (Product, DevOps, Data) to identify high-impact use cases and move them from POC to production. Best Practices : Set the standard for GenAI engineering, including model selection criteria, performance tracking, and ethical AI safeguards. Key Qualifications & Skills Technical Stack : Deep proficiency in Python and GenAI frameworks (LangChain, LlamaIndex). Vector Infrastructure : Hands-on experience with vector indexing, semantic search, and hybrid search strategies. Cloud Proficiency : Strong experience with Azure (Azure OpenAI, Azure Functions, Azure DevOps) or similar cloud ecosystems. Deployment : Experience with CI/CD for AI, MLOps, and containerization. Problem Solving : A proven track record of solving complex "hallucination" and data grounding issues in production environments. Why Join Straive? You will be part of a global footprint spanning 30+ countries, working with a team that is at the forefront of the AI revolution. At Straive, your work directly translates into measurable ROI for the world's leading brands Recognition & Achievements We have been recognized as a Star Performer in Data & AI Services Specialists - Everest's North America PEAK Matrix 2025, and as a Leader in AIM's PeMa Quadrant of Agentic AI Service Providers - 2025. In Nov 2023, Straive acquired Gramener, an award-winning, design-led data science company, enhancing our data, analytics, and AI capabilities. In June 2025, we acquired SG Analytics, a leading provider of AI-powered insights and contextual analytics services. For more information, please visit our Website: https://www.straive.com/ Equal Opportunity Employer Straive is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

Levels 5-7 Location: The Energy Center, Birmingham, AL or Ivan Allen, Atlanta, GA 4 days in-office / 1 day remote Designs, builds, and evolves AI solutions that deliver measurable business and operational value across Southern Power. The AI Engineer translates use-case intent into production-ready agents, models, and workflows, working within the enterprise architectural, governance, and operational standards to ensure solutions are scalable, safe, and fit for a critical-infrastructure environment. JOB REQUIREMENTS: (Experience, Knowledge, Skills ) Domain Expertise Experience building AI and machine learning applications in enterprise settings. Practical understanding of agentic AI concepts, including planners, tool-calling, memory, and multi-agent collaboration. Familiarity with enterprise data platforms and APIs, including structured, unstructured, and document-based data. Awareness of AI governance, risk, and compliance considerations in regulated environments Individual Skills Strong problem-solving skills with the ability to decompose complex use cases into modular agent behaviors. Product-oriented mindset, focused on delivering tangible outcomes rather than experimentation alone. Ability to work effectively within defined architectural and governance constraints. Clear communicator who can explain AI behavior and limitations to non-technical stakeholders. Technical Skills Proficiency in Python and AI frameworks for LLMs and agents. Proficiency with Databricks preferred. Experience with prompt engineering, evaluation techniques, and structured outputs. Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG) patterns. Working knowledge of API integration and tool execution within agent workflows. Exposure to CI/CD, model deployment, and observability concepts sufficient to operate within pipelines. MAJOR JOB RESPONSIBILITIES: Develop AI solutions. Build and configure agents that reason, plan, and act using models, tools, and enterprise data, aligned to approved patterns. Implement use-case workflows end-to-end. Translate business and operational requirements into AI workflows spanning data ingestion, inference, tool execution, and human-in-the-loop review. Apply responsible AI and guardrails. Embed safety controls, validation steps, and explainability mechanisms into agent logic and prompts by design. Collaborate across the AI delivery lifecycle. Partner with architects on design decisions and with ML Ops to ensure smooth deployment, monitoring, and iteration. Optimize performance and cost. Tune prompts, models, and agent interactions to improve accuracy, latency, and cost efficiency. Support experimentation to production. Rapidly prototype new AI capabilities while adhering to standards that enable promotion to enterprise-grade deployments. Continuously improve agent behavior. Use feedback, evaluations, and operational signals to refine agent performance and reliability over time This position falls under the company's Insider Threat Program and will have access to, and control over sensitive data, systems or assets. Enhanced personnel screening, which includes a background review, drug screen and psychological assessment, will be required if you are selected for this position About Southern Company Southern Company (NYSE: SO ) is a leading energy provider serving 9 million customers across the Southeast and beyond through its family of companies. Providing clean, safe, reliable and affordable energy with excellent service is our mission. The company has electric operating companies in three states, natural gas distribution companies in four states, a competitive generation company, a leading distributed energy solutions provider with national capabilities, a fiber optics network and telecommunications services. Through an industry-leading commitment to innovation, resilience and sustainability, we are taking action to meet customers' and communities' needs while advancing our goal of net-zero greenhouse gas emissions by 2050. Our uncompromising values ensure we put the needs of those we serve at the center of everything we do and are the key to our sustained success. We are transforming energy into economic, environmental and social progress for tomorrow. Our corporate culture has been recognized by a variety of organizations, earning the company awards and recognitions that reflect Our Values and dedication to service. To learn more, visit www.southerncompany.com . Southern Company invests in the well-being of its employees and their families through a comprehensive total rewards strategy that includes competitive base salary, annual incentive awards for eligible employees and health, welfare and retirement benefits designed to support physical, financial, and emotional/social well-being. This position may also be eligible for additional compensation, such as an incentive program, with the amount of any bonus/awards subject to the terms and conditions of the applicable incentive plan(s). A summary of the benefits offered for this position can be found here https://seo.nlx.org/southernco/pdf/SOCO-Benefits.pdf . Additional and specific details about total compensation and benefits will also be provided during the hiring process. Southern Company is an equal opportunity employer where an applicant's qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis prohibited by law. Job Identification: 22357 Job Category: Information Technology Job Schedule: Full time Company: Southern Company Services

Levels 5-7 Location: The Energy Center, Birmingham, AL or Ivan Allen, Atlanta, GA 4 days in-office / 1 day remote Designs, builds, and evolves AI solutions that deliver measurable business and operational value across Southern Power. The AI Engineer translates use-case intent into production-ready agents, models, and workflows, working within the enterprise architectural, governance, and operational standards to ensure solutions are scalable, safe, and fit for a critical-infrastructure environment. JOB REQUIREMENTS: (Experience, Knowledge, Skills ) Domain Expertise Experience building AI and machine learning applications in enterprise settings. Practical understanding of agentic AI concepts, including planners, tool-calling, memory, and multi-agent collaboration. Familiarity with enterprise data platforms and APIs, including structured, unstructured, and document-based data. Awareness of AI governance, risk, and compliance considerations in regulated environments Individual Skills Strong problem-solving skills with the ability to decompose complex use cases into modular agent behaviors. Product-oriented mindset, focused on delivering tangible outcomes rather than experimentation alone. Ability to work effectively within defined architectural and governance constraints. Clear communicator who can explain AI behavior and limitations to non-technical stakeholders. Technical Skills Proficiency in Python and AI frameworks for LLMs and agents. Proficiency with Databricks preferred. Experience with prompt engineering, evaluation techniques, and structured outputs. Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG) patterns. Working knowledge of API integration and tool execution within agent workflows. Exposure to CI/CD, model deployment, and observability concepts sufficient to operate within pipelines. MAJOR JOB RESPONSIBILITIES: Develop AI solutions. Build and configure agents that reason, plan, and act using models, tools, and enterprise data, aligned to approved patterns. Implement use-case workflows end-to-end. Translate business and operational requirements into AI workflows spanning data ingestion, inference, tool execution, and human-in-the-loop review. Apply responsible AI and guardrails. Embed safety controls, validation steps, and explainability mechanisms into agent logic and prompts by design. Collaborate across the AI delivery lifecycle. Partner with architects on design decisions and with ML Ops to ensure smooth deployment, monitoring, and iteration. Optimize performance and cost. Tune prompts, models, and agent interactions to improve accuracy, latency, and cost efficiency. Support experimentation to production. Rapidly prototype new AI capabilities while adhering to standards that enable promotion to enterprise-grade deployments. Continuously improve agent behavior. Use feedback, evaluations, and operational signals to refine agent performance and reliability over time This position falls under the company's Insider Threat Program and will have access to, and control over sensitive data, systems or assets. Enhanced personnel screening, which includes a background review, drug screen and psychological assessment, will be required if you are selected for this position About Southern Company Southern Company (NYSE: SO ) is a leading energy provider serving 9 million customers across the Southeast and beyond through its family of companies. Providing clean, safe, reliable and affordable energy with excellent service is our mission. The company has electric operating companies in three states, natural gas distribution companies in four states, a competitive generation company, a leading distributed energy solutions provider with national capabilities, a fiber optics network and telecommunications services. Through an industry-leading commitment to innovation, resilience and sustainability, we are taking action to meet customers' and communities' needs while advancing our goal of net-zero greenhouse gas emissions by 2050. Our uncompromising values ensure we put the needs of those we serve at the center of everything we do and are the key to our sustained success. We are transforming energy into economic, environmental and social progress for tomorrow. Our corporate culture has been recognized by a variety of organizations, earning the company awards and recognitions that reflect Our Values and dedication to service. To learn more, visit www.southerncompany.com . Southern Company invests in the well-being of its employees and their families through a comprehensive total rewards strategy that includes competitive base salary, annual incentive awards for eligible employees and health, welfare and retirement benefits designed to support physical, financial, and emotional/social well-being. This position may also be eligible for additional compensation, such as an incentive program, with the amount of any bonus/awards subject to the terms and conditions of the applicable incentive plan(s). A summary of the benefits offered for this position can be found here https://seo.nlx.org/southernco/pdf/SOCO-Benefits.pdf . Additional and specific details about total compensation and benefits will also be provided during the hiring process. Southern Company is an equal opportunity employer where an applicant's qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis prohibited by law. Job Identification: 22357 Job Category: Information Technology Job Schedule: Full time Company: Southern Company Services