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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

Job Number: R0252233 Artificial Intelligence Engineer The Opportunity: As an AI Engineer, you will bring advanced AI capabilities into production systems by integrating models, inference endpoints, agent‑orchestration frameworks, and intelligent workflows into complex, distributed software environments. You will apply strong software engineering principles to ensure these AI features operate reliably, securely, and efficiently at scale. In this role, you will help evolve traditional LLM-driven solutions into goal‑oriented, multi‑agent architectures leveraging agent‑orchestration frameworks, Retrieval-Augmented Generation (RAG), Knowledge Graphs (KGs), and fine‑tuned Small Language Models (SLMs). You will contribute to evaluation and monitoring strategies, refine integration workflows, collaborate with cross‑functional engineering teams, and develop scalable AI capabilities that translate cutting‑edge concepts into operational, mission‑ready solutions. Join us. The world can't wait. You Have: 3+ years of experience developing and maintaining production-grade software systems in Python Experience designing and implementing AI agent architectures using LangChain, LangGraph, AutoGen, MCP, or A2A Experience building RAG solutions with Knowledge Graphs and fine‑tuning SLMs using ONNX, GGML, or Ollama Experience integrating LLMs, external APIs, and distributed services into production with optimized inference workflows Experience developing AI evaluation frameworks, integration tests, and production validation using ReAct patterns and human‑in‑the‑loop methodologies Knowledge of secure HTTP APIs, OAuth2, JWT, API Keys, containerization, and CI/CD pipelines Ability to travel up to 25% of the time TS/SCI clearance Bachelor's degree in Computer Science, Engineering, or Data Science DoD 8140 Level II Certification such as Security+, CySA+, or CISSP Certification Nice If You Have: Experience supporting DoD clients or other federal mission environments Experience with advanced agentic patterns, including prompt caching, guardrails, agent memory, Model Context Protocol (MCP), and agent deployment strategies Experience developing end‑to‑end chatbot or agent‑to‑agent (A2A) systems Experience with enterprise data and machine learning platforms such as Databricks or Snowflake Experience building or managing large‑scale data processing pipelines Master's degree in a related field Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided . Work Model Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role. Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Language Model Scientist We're hiring a Language Model Scientist in Santa Clara, California, to join L&T's AI Center of Excellence. You'll build the generative and agentic AI systems that power knowledge, engineering and operations across the L&T Group, turning foundation-model capabilities into secure, reliable and domain-aware solutions: copilots, AI agents, enterprise knowledge systems and natural-language interfaces to engineering and physical systems. What you'll do Fine-tune and align open-source and commercial LLMs (SFT, LoRA/PEFT, RLHF, DPO) for domain tasks such as engineering specifications, contracts, standards and code. Design agentic systems with tool use, planning, memory and multi-agent orchestration, plus RAG and knowledge-graph systems over enterprise data. Build evaluation, guardrail and red-teaming frameworks covering accuracy, hallucination, bias and safety. Deploy and scale LLMs in production (vLLM, TensorRT-LLM, quantization), with monitoring and inference cost optimization across cloud and on-premise. Partner with businesses in Engineering, Manufacturing, Infrastructure, Energy, Financial Services, IT Services and Defence to deliver high-value GenAI use cases. First 12 months Enterprise LLM and agentic AI reference architecture defined for the CoE. 5–8 GenAI and agentic use cases delivered, at least 3 scaled to production. At least one domain-adapted language model developed. LLM evaluation, guardrail and LLMOps framework established. What we're looking for Master's or PhD in Computer Science, AI, NLP, Computational Linguistics or a related field (PhD preferred). 8–15 years in ML or NLP, including 3+ years of hands-on work with LLMs and Generative AI. A track record of building and deploying LLM applications in production at enterprise scale. Deep knowledge of transformer architectures, pre-training, fine-tuning and alignment. Strong Python with PyTorch, Hugging Face, DeepSpeed/FSDP and LLM frameworks such as LangChain, LlamaIndex or LangGraph. Experience with vector databases, knowledge graphs, Model Context Protocol (MCP) and function calling. Plus: engineering, industrial or regulated-domain experience, and publications at ACL, EMNLP, NAACL, NeurIPS, ICML or ICLR. Role details: Reports to the Head, AI Center of Excellence. Headcount: 3. Scope: L&T Group-wide, United States and India. Interested? Apply or send us a message with your profile. #LTGroup #AI #LLM #GenerativeAI #AgenticAI #Hiring #SantaClara

Machine Learning EngineerAbout Blue Voice At Blue Voice our primary mission is to empower first responders with state-of-the-art SaaS solutions, leveraging machine learning and LLMs. We seek to modernize and revolutionize their workflow, response times, and overall efficiency while improving outcomes in the field. We are a venture-backed startup with a lean team distributed across the country and pods on the East and West coasts. The Role Position: Machine Learning Engineer Reports to: Director of ML Location: Remote (US). SF Bay Area preferred, with opportunities for in-person work. Key Responsibilities: Collaborate closely with the Director of ML and the rest of the founding engineering team to design, implement, and iterate on our core SaaS product. Contribute to the full ML lifecycle for products, from design and implementation to evaluation and training, as well as to backend and occasional full-stack initiatives outside the traditional ML scope. Monitor production quality, surface regressions proactively, and help harden existing systems. Triage customer-reported issues end-to-end, identifying root causes and turning them into fixes and eval cases. Keep up to date with the latest developments in ML, specifically in LLMs and RAG, and be comfortable discussing new tools and approaches. Actively participate in product decisions and project deliverables, collaborating across the company with customer success and sales. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 3-4 years of software engineering experience. We weigh what you've built and shipped alongside years of experience and welcome earlier-career applicants with strong work to show. Proficiency in Python and familiarity with modern software development best practices, including integrating AI into the development life cycle. Strong ML fundamentals, specifically LLMs and related technologies. Experience developing and deploying customer-facing SaaS applications. Solid backend fundamentals: APIs, data pipelines, testing, and debugging across service boundaries. Knowledge of or willingness to learn mobile application deployment and integration of ML components with mobile full stack development on React Native. Eligible for CJIS access: you must be a US person able to pass a fingerprint-based background check. Preferred Qualifications: Experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying scalable ML solutions in the cloud. Experience with CI/CD pipelines and Agile methodologies. Prior exposure to, or a strong interest in, the first responder ecosystem or related fields. You'd be a great fit for this role if you: Are a self-starter with the ability to learn new skills quickly and pivot in a fast-evolving environment where development and deployments happen in a matter of days. Bring an opinion. When you find something, say what should change and why. Have a genuine passion for technology, in particular LLMs, and their potential to positively impact society. Benefits: Competitive salary and equity. Opportunities for professional growth and leadership in a fast-growing startup. Flexible working hours and fully remote work. Health and wellness benefits. For more information or to apply, please send your resume accompanied by a brief introduction and any relevant portfolio or project links to amit@bluevoice.io and CC jordan@bluevoice.io Blue Voice is an equal opportunity employer. We are committed to building a diverse and inclusive team and encourage applications from candidates of all backgrounds and experiences.

About Us Think BIG. Achieve More. At City National Bank of Florida, we invest in our people and the communities we serve. Join a team where ambitious careers and meaningful relationships thrive together. We're entrepreneurs at heart—growing fast, making an impact, and shaping the future of banking in Florida. To learn more about City National Bank of Florida visit About Us! Overview City National Bank of Florida is seeking a hands-on Machine Learning / AI Engineer to develop enterprise-grade AI applications, retrieval-augmented generation (RAG) systems, and agentic AI workflows. The engineer will work on real banking use cases involving financial document analysis, credit writing, enterprise knowledge retrieval, risk and fraud prevention, and employee productivity. The ideal candidate combines strong Python software engineering skills with practical experience building, testing, and deploying LLM-powered applications. This is a development-focused role, not a pure research or experimentation position. What You'll Do Design, develop, test, and maintain production-quality Python applications for generative AI and applied machine learning. Build RAG pipelines using document ingestion, parsing, chunking, embeddings, metadata filtering, hybrid search, reranking, and grounded response generation. Develop AI agents and workflow components using LangChain v1 and LangGraph. Integrate Azure OpenAI models and Azure AI Search into enterprise AI applications. Implement structured outputs using Pydantic, schema validation, deterministic business rules, and robust error handling. Build document validation, financial data extraction, summarization, classification, and analysis components. Implement automated evaluation datasets and tests to measure retrieval quality, answer correctness, grounding, and regression. Develop REST APIs and backend services using FastAPI or an equivalent Python framework. Write unit tests, integration tests, and mock-based tests; participate in code reviews and continuous integration. Implement secure handling of sensitive banking information, prompt-injection defenses, input validation, and appropriate AI guardrails. Deploy containerized applications and contribute to Azure monitoring, logging, troubleshooting, and performance optimization. Collaborate with senior engineers, AI leadership, business stakeholders, and risk and compliance teams. Qualifications Programming and software engineering 4–5 years of professional software development experience, with strong hands-on Python proficiency. Strong knowledge of object-oriented programming, data structures, algorithms, modular design, and clean-code principles. Experience with FastAPI, REST APIs, Pydantic, SQL, Git, pytest, and debugging. Generative AI and machine learning Practical experience building LLM-powered applications using OpenAI, Azure OpenAI, or comparable model APIs. Understanding of transformers, embeddings, tokenization, semantic search, and model inference. Hands-on experience with RAG, including document ingestion, chunking strategies, retrieval, grounding, and evaluation. Experience with LangChain, LangGraph, or comparable orchestration frameworks. Direct LangGraph experience is strongly preferred. Experience with prompt design, structured generation, function/tool calling, and output validation. Ability to measure and improve AI quality rather than relying solely on subjective demonstrations. Cloud and engineering practices Experience with Azure or another major cloud platform; Azure experience is preferred. Familiarity with Docker, CI/CD, application logging, monitoring, and automated testing. Ability to troubleshoot API failures, retrieval defects, latency, token usage, and model-related errors. Preferred Qualifications Experience with Azure AI Search, hybrid search, reranking, or vector databases. Experience building AI agents that call enterprise APIs and tools. Familiarity with Model Context Protocol (MCP). Experience with PostgreSQL, Azure Blob Storage, or document-processing pipelines. Experience in banking, financial services, lending, fraud, or another regulated industry. Familiarity with responsible AI, data privacy, and auditability. Education Bachelor's Degree in computer science, data science, engineering, applied mathematics/statistics, information systems, or a related quantitative field (or equivalent combination of education and experience). Master's Degree preferred. Benefits & Perks We offer a competitive benefits package designed to support your success: Health Coverage: Medical, dental, and vision plans with employer contributions. Retirement Savings: 401(k) with matching. Paid Time Off & Holidays: Generous PTO and paid holidays. Wellness Support: Access to mental health and financial wellness resources. Visit our benefits page to learn more Benefits! Join City National Bank of Florida. The possibilities are endless. Special Information To Candidates Equal Opportunity City National Bank of Florida is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, national origin, age, disability, genetic information, protected veteran status, or any status protected by federal, state, or Florida law. We comply with the ADA and applicable Florida laws. Interview Guidelines To ensure a fair and consistent interview process, applicants are not permitted to use AI-enabled devices during interviews, including AI glasses or similar wearable technology that can record, transmit, or generate real-time information. Applicants who require a reasonable accommodation to participate in the interview process should contact talent.attraction@citynational.com in advance of the interview to submit an accommodation request. City National Bank of Florida will engage in the interactive process and provide reasonable accommodations in accordance with applicable law.