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AI Prompt Designer – 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: AI Prompt Designer Location: 1 00% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $100,000 Annually Experience Required: 6+ 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 AI Prompt Designer 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 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 vqg5VBnuZ3

Build your big career with the firm that does Big Law, Better . McDermott Will & Schulte is a leading global law firm that brings together more than 1,700+ lawyers and 1,400 business professionals. We celebrate excellence, collaboration, and community and have been recognized as a top workplace by USA Today, Fortune , The American Lawyer, Vault and others. We are also certified by Great Place to Work. At McDermott, we don't just invest in your future, we accelerate your career – wherever it may lead. That includes supporting you both in and outside of the office. With Us, You'll Find A firm where everyone belongs: Our award-winning culture prioritizes warmth and authenticity — we encourage you to be yourself! Enthusiasm for all perspectives: We're smarter and stronger when everyone has a voice and a seat at the table. We welcome unique viewpoints and ideas, and we make opportunities for you and your career to thrive. Support to feel your best and do your best: Wellness is integral to building a successful career and a rich life. That's why our benefits program supports your physical, emotional, mental, and financial health, with an emphasis on work-life balance. Real rewards for real work: We offer generous compensation packages that recognize hard work and excellence. Job Description Position Summary: Are you a Product Manager, Pre-Sales Engineer, or Business Analyst who lives and breathes AI? This role was built for you. McDermott, Will & Schulte LLP is among the most ambitious firms in the world when it comes to AI — and we're just getting started. We're building a purpose-built AI capability inside the firm: intelligent applications, agentic workflows, and deep integrations that are transforming how our attorneys and staff professionals work and how we serve clients. The Applied AI Solutions Analyst sits at the center of that effort. You won't hand requirements to a dev team. You'll discover opportunities, design solutions, and build them yourself using the most advanced AI tools available. What You'll Do Partner with attorneys and operational leaders to surface workflow pain points and translate them into AI use cases Design and build AI solutions using state-of-the-art AI foundation platforms — from conversational tools to full document automation Orchestrate agentic workflows that autonomously handle multi-step legal and business processes via integration frameworks and APIs Use prompting to engineer bespoke applications and solutions with high-quality output Integrate AI solutions with M365 applications, Enterprise Data Warehouse, the firm's Document Management System and other enterprise applications Run iterative feedback loops with stakeholders; validate solution designs and maintain clear documentation throughout delivery Monitor the LLM landscape and bring actionable AI innovations back to the team TECHNOLOGIES Leading AI Foundation Models Agentic Frameworks Vector Store(s) Enterprise Data Platform Agentic Workflows MCP REST APIs Azure iManage SharePoint Microsoft 365 Git What You Bring 3+ years delivering software-based solutions in a Business Analyst, solutions, or technical product role Demonstrated AI building experience — delivered AI tools, workflows, or agents professionally or personally Deep prompt engineering skill; proficiency with at least one leading AI foundation platform API integration experience — REST, JSON, and cloud environments (Azure preferred) Excellent communication skills — can explain model behavior to a managing partner BS in Computer Science, Information Systems, Engineering, or equivalent experience Preferred Experience with agentic frameworks, tool-use chains, or autonomous agent orchestration Hands-on experience with AI-assisted development tools and agentic workflow frameworks Exposure to legal industry workflows — matter management, KM, or client delivery Familiarity with responsible AI and data governance in regulated environments WHY MWS Executive-sponsored AI program — one of the most ambitious in global law Build with frontier AI tools on problems that genuinely matter Remote-first, collaborative team that ships fast and celebrates impact Career-defining work at the frontier of legal AI transformation Successful candidates will be provided with outstanding career opportunities and will receive a competitive total rewards package with the opportunity to earn performance-based bonuses. Target Hiring Range $93,000 - $169,000 Please note that quoted salary ranges are not guarantees of what final salary offers may be. Base pay is based on market location and may vary depending on job-related knowledge, skills, experience, and geographic location. Base pay is only one part of the Total Rewards that MWS provides to compensate and recognize our staff professionals for their work. Full time positions are eligible for a discretionary bonus and a comprehensive benefits package. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Physical Demands And Work Environment The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Physical Demands While performing the duties of this job, the employee is required to sit, use hands, reach with hands and arms, stoop, talk and hear Employee must occasionally lift up to twenty (20) pounds Work Environment Typical indoor office environment Disclaimer The above statements are intended to describe the general nature and level of the work being performed by people within this classification. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of employees assigned to this job.

About Persistent We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what's next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem. Our disruptor's mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We reported $1,654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24 sequential quarters of growth with $436.0M in Q4 FY26 revenue, up 3.2% Q-o-Q and 16.2% Y-o-Y growth. Our 27,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been recognized as the Fastest Growing IT Services Brand Globally in the 2026 Brand Finance IT Services 25 Report. We named a Leader in the Everest Group Private Equity (PE) Services PEAK Matrix® Assessment 2026 and Software Product Engineering PEAK Matrix® Assessment 2026. About Position Role: AI Prompt Engineer Location: Whippany, NJ (3 days onsite) Experience: 8+ Years Job Type: Full Time Mandatory Skills: AI, Prompt Engineer, GPT /Claude, LLM, RAG Expertise You'll Bring Strong understanding of Generative AI, LLMs, and Prompt Engineering concepts. Hands-on experience with OpenAI/ Anthropic Claude or similar AI platforms. Knowledge of prompt patterns such as: Zero-shot Few-shot Chain-of-Thought (CoT) Tree-of-Thought (ToT) ReAct Role-based prompting Experience with Python and AI development frameworks. Familiarity with any of the frameworks like LangChain, LangGraph, LlamaIndex, Semantic Kernel, or equivalent frameworks. Understanding of RAG architectures and vector databases such as Pinecone etc Strong analytical and problem-solving skills. What You'll Do Design, develop, test, and refine prompts for LLMs such as GPT /Claude . Create prompt engineering best practices for enterprise applications. Evaluate model outputs and continuously optimize prompts for accuracy, relevance, safety, and performance. Develop prompt libraries, prompt chains, and AI agent workflows. Work with RAG (Retrieval Augmented Generation), vector databases, and knowledge management systems to improve contextual responses. Monitor AI application performance and implement prompt improvements based on user feedback. Document prompt engineering methodologies, testing results, and governance standards. Benefits Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Values-Driven, People-Centric & Inclusive Work Environment: Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We support hybrid work and flexible hours to fit diverse lifestyles. Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment Let's unleash your full potential at Persistent persistent.com/careers For more details, please contact Siva Sankavi Murugan (Siva_murugan@persistent.com) "Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."

Bounteous AI Engineer / AI Search Specialist rather than a traditional AWS or Amazon Connect engineer. We are looking for someone with demonstrated experience building and optimizing production-grade AI search and conversational experiences. GenAI & AI Search Hands-on experience with: Retrieval-Augmented Generation (RAG) architectures LLM integration and orchestration Prompt engineering, guardrails, and response grounding Context management and conversational memory Vector search and knowledge retrieval LLM evaluation frameworks, testing, and performance tuning Developing AI responses grounded in enterprise content and knowledge sources Preferred AI Search Domain Experience AI-powered search and question-answering solutions Conversational and chat-based search experiences Citation and source attribution patterns Relevance tuning and retrieval optimization Search analytics, user feedback loops, and answer-quality improvements Healthcare Experience (Preferred) Familiarity with healthcare payer and member-facing experiences Understanding of benefits, claims, eligibility, provider, and healthcare content Experience working in HIPAA-regulated environments Knowledge of responsible AI practices for healthcare use cases Bonus Points Strong AWS Development Experience, Including Amazon Connect Customer Profiles AWS Bedrock AWS Lambda Amazon CloudWatch Amazon Connect Contact Lens Amazon S3 DynamoDB AWS architecture, security, and operational best practices Ideal Candidate We're looking for an engineer who has recently delivered AI-powered search, retrieval, chatbot, or copilot-style solutions in production environments and can contribute immediately to our AI Search roadmap. AWS experience remains valuable, but expertise in GenAI, retrieval, relevance optimization, and LLM evaluation is the primary need for this role.

Job Title: AI Engineer Location: Coppell, Texas Work Arrangement: On-Site Job Summary We are seeking an AI Engineer to join our engineering team and support AI-driven transformation initiatives within the pharmaceutical industry. The ideal candidate will design, develop, and test AI-powered solutions using AWS AI services, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and advanced prompt engineering techniques. The AI Engineer will work closely with product, design, and engineering teams to develop effective AI workflows, optimize prompts, and integrate local files, documents, and enterprise data sources into AI-powered applications. This role will also focus on AI performance evaluation, security testing, and governance to ensure reliable, secure, and responsible AI implementation. Key Responsibilities Develop and maintain a structured prompt library for common use cases, including summarization, question answering, information extraction, code generation, and file analysis. Apply advanced prompt engineering techniques, including few-shot prompting, role specification, and structured input formats, to improve AI output quality. Design and implement RAG pipelines that connect enterprise systems such as Warehouse Management Systems (WMS), Electronic Data Interchange (EDI) logs, Standard Operating Procedures (SOPs), contract repositories, and other data sources. Develop, deploy, and optimize LLM-powered applications, including internal knowledge assistants and client-facing chat solutions. Extend AI-powered response repositories and identify opportunities to automate workflows, improve processes, and enhance system performance. Conduct A/B testing of prompt variations, evaluate AI-generated responses, and document performance benchmarks. Work with Claude Desktop and similar AI tools to support document-based workflows involving PDFs, Word documents, spreadsheets, and code files. Create reusable prompt patterns for multi-file inputs, long-context documents, and structured data analysis. Develop and maintain internal tools for prompt evaluation, testing, and performance monitoring. Test AI workflows for vulnerabilities, potential bias, and misuse risks while supporting AI safety, security, and governance requirements. Collaborate with cross-functional teams and provide guidance to end users on effective AI tools and prompt usage. Required Skills Experience with Generative AI, Large Language Models (LLMs), and AI application development. Hands-on experience with AWS AI services and cloud-based AI solutions. Strong understanding of prompt engineering, prompt optimization, and LLM evaluation techniques. Experience designing and developing Retrieval-Augmented Generation (RAG) pipelines. Knowledge of enterprise data integration and document-processing workflows. Familiarity with Claude Desktop or similar AI tools for document analysis and file-based workflows. Experience with AI testing, performance benchmarking, and prompt evaluation. Understanding of AI security, data privacy, responsible AI practices, and governance. Strong analytical, problem-solving, communication, and collaboration skills. Preferred Qualifications Experience working with WMS, EDI systems, SOP repositories, contract data, or enterprise knowledge bases. Familiarity with Python, APIs, vector databases, embeddings, and document-processing frameworks. Experience developing AI assistants, enterprise chatbots, or automated document-analysis solutions. Exposure to pharmaceutical, biotechnology, life sciences, or other regulated industry environments.

About Entegrata Entegrata helps law firms turn data into decision-grade insights. Founded in 2023 and headquartered in Indianapolis, we are a venture-backed SaaS company delivering a turnkey, Azure-based data lakehouse platform purpose-built for law firms. Our platform consolidates siloed legal, operational, and financial data into a single governed source of truth, with AI-powered analytics on top. Our mission is to become the data platform of choice for the top law firms in the world. The Role Law firms are pouring both time and money into AI, and many efforts stall on the same point: the data underpinning the endeavor. Your job is to fix that. As our first Applied AI + NLP Engineer, you build the intelligence that turns Entegrata's governed data platform into an enablement layer for a firm's entire AI strategy. You will ship the conversational analytics that let firm leaders interact with their data in plain English and get governed, accurate answers they can act on. In addition to helping unlock value related to structured data from firm systems, you will help us turn legal documents into discrete data. This distillation of documents will help our customers tap into key content with added precision, enabling new insights for customers. You will also build the retrieval and natural-language-to-query capabilities that help firms get more out of the AI tools they already run, and light up new business and practice of law use cases that were not possible before. Because this all sits on top of our governed semantic layer, accuracy, trust, and respect for firm data boundaries are non-negotiable. This is a senior, hands-on role at the core of our AI enablement roadmap. You will need to be comfortable working where data engineering, AI and product intersect. Key Responsibilities AI for Structured Data & Analytics (Initial Focus) Build systems that translate natural language questions into deterministic analytical workflows and governed queries over structured legal data. Help define and implement semantic models and metadata that enable LLMs and AI agents to reason consistently over operational, business, and legal data. Improve intent recognition, query planning, and ambiguity resolution to deliver accurate, consistent responses—even when user requests are incomplete or underspecified. Develop AI agents capable of accessing, interpreting, and synthesizing structured data and legal content to answer complex business questions. Build orchestration logic that intelligently selects the appropriate data sources, models, tools, and workflows for each request. Implement guardrails that ensure AI responses align with governed business definitions, semantic models, and firm conventions. Build evaluation frameworks, benchmark datasets, and automated tests that continuously improve answer quality, determinism, and reliability. Collaborate with Data Engineering to expose governed metrics, dimensions, relationships, and business logic for AI consumption. Document Intelligence & Knowledge Extraction Design and build AI pipelines that transform complex legal documents into structured, machine-understandable data. Help design and evolve legal data models that capture the key concepts, relationships, and business meaning contained within legal documents. Develop techniques to identify legal concepts, obligations, timelines, financial terms, parties, and other domain-specific information that populate and enrich those data models. Design confidence scoring, validation, and human review workflows that improve extraction quality and support continuous model refinement. AI Platform Evolution Optimize AI workflows for quality, latency, scalability, and cost across the platform. Partner closely with Product, Data Engineering, and legal domain experts to translate customer needs into production AI capabilities. Stay current with advances in applied AI, LLMs, and agentic systems, bringing practical innovations into production where they create measurable customer value. What Success Looks Like: 30-60-90 Days First 30 Days | Learn and Contribute Ramp on the platform, semantic layer, and current AI capabilities and evaluation approach. Help create or improve a natural-language query or retrieval flow. By 60 Days | Build and Improve Own an end-to-end AI capability, including its evaluation harness and quality metrics. Deliver the initial design framework for deconstructed legal documents. Measurably improve answer accuracy or reliability on a defined test set. By 90 Days | Own and Lead Deliver production AI features with strong, measured quality and guardrails. Set a technical direction for a piece of the AI roadmap and drive it forward. Establish yourself as a trusted technical partner who can independently design, buils and improve AI capabilities across the Entegrata platform. Required Qualifications 5+ years of software engineering, with hands-on experience building applied AI, NLP, or ML features in production. Practical experience with LLMs: prompting, retrieval-augmented generation, agents, and tool use. Experience with information extraction, document parsing, classification or named entity recognition. Strong evaluation mindset: building test sets and measuring model and system quality. Solid SQL and understanding of structured data and semantic layers. Proficiency in Python and one of Go, .NET, or Node.js. Focus on accuracy, safety, and reliability in customer-facing AI. Preferred Qualifications Experience with natural-language-to-SQL or query generation over governed data. Familiarity with data lakehouse or BI platforms (Databricks, Snowflake, or Microsoft Fabric). Experience with vector / semantic search, embeddings, reranking and hybrid retrieval. Experience building pipelines and processing approaches for long-form or highly structured documents. Legal, finance, or professional services domain exposure. Technology Stack Python, LLM tooling, RAG, vector search, SQL, Azure, Go/.NET/Node.js. Compensation And Benefits Competitive salary, medical, dental, and vision insurance, 401(k) with employer match, unlimited PTO and company holidays, professional development support, and flexible remote work. Equal Opportunity Entegrata is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected characteristic.

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it's at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. In this role, you will design, build, and deploy AI-powered systems that accelerate AI adoption across CLEAR's internal workflows and customer-facing product experiences. This role will partner directly with Product, Engineering, Data, Security, Legal, Compliance, Operations, and business teams to identify high-impact AI opportunities, rapidly prototype solutions, and productionize reliable, secure, and measurable AI systems. You will own use cases end-to-end, from discovery and evaluation through launch, monitoring, and iteration. What you'll do: Discover, prioritize, and build AI use cases across internal tools, employee workflows, and customer-facing product features Partner with Product, Engineering, Data, Security, Legal, Compliance, and Operations to translate business needs into AI-driven solutions Rapidly prototype AI agents, LLM applications, RAG workflows, automation tools, and product experiences Productionize validated AI use cases with strong evaluation, monitoring, logging, fallback paths, and operational ownership Build reusable patterns for prompt management, retrieval, tool use, evals, guardrails, and human-in-the-loop workflows Implement responsible AI best practices, including privacy, security, model governance, risk review, and customer impact assessment Measure and communicate AI impact across adoption, quality, cost reduction, productivity, customer experience, and business outcomes How you'll measure success: Number of high-impact internal and customer-facing AI use cases launched Adoption and measurable business impact of AI-powered tools and features Quality, reliability, latency, and safety of deployed AI systems Reduction in manual work, operational cost, or customer support volume Improvement in customer experience, containment, accuracy, or workflow efficiency Percentage of AI use cases with clear owners, evals, monitoring, and governance controls Speed from AI opportunity identification to prototype, pilot, and production launch What you're great at: 0-2 years of experience in software engineering, AI engineering, machine learning engineering, data engineering, or related technical roles Some hands-on experience building with LLMs, AI agents, RAG, model APIs, prompt engineering, or AI application frameworks Strong programming skills in Python and/or another modern backend language Some experience building and deploying production systems with APIs, data platforms, cloud infrastructure, logging, monitoring, and testing Ability to work directly with business teams to understand ambiguous workflows and turn them into usable AI products Good product judgment and ability to identify practical, high-ROI AI use cases Knowledge of responsible AI concepts, including evals, guardrails, data privacy, security, human oversight, and model governance Ability to communicate complex technical concepts to technical, non-technical, and executive stakeholders Comfort operating in fast-paced, ambiguous environments with strong ownership from idea to impact Passion for building AI systems that are practical, secure, measurable, and user-centric How You'll be Rewarded: At CLEAR, we help YOU move forward - because when you're at your best, we're at our best. You'll work with talented team members motivated by our mission of making experiences safer and easier. Our offices are bright and energetic with an open concept and plenty of conference rooms and casual co-working spaces. We also offer catered lunches every day and have fully stocked kitchens. Outside of the office, we invest in your well-being and learning & development with stipends and reimbursement programs. We offer holistic total rewards, including comprehensive healthcare plans, family-building benefits (fertility and adoption/surrogacy support), flexible time off, annual wellness stipend, free OneMedical memberships for you and your dependents, a CLEAR Plus membership, and a 401(k) retirement plan with employer match. The base compensation range for this role is $129,500 – $150,500 , depending on levels of skills and experience. Total compensation includes the combined base salary, annual bonus incentive, and new hire equity package (in Restricted Stock Units) for this position at CLEAR. Additionally, this role will be eligible for refresh equity grants as part of our ongoing compensation program. Actual compensation will vary based on factors including, but not limited to, location, education, skills, experience, and performance. All stock based compensation will be subject to the terms and conditions of applicable agreements. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment. We are committed to a transparent and secure hiring process. All communications related to this role will come directly from a CLEAR employee through valid CLEAR channels (e.g., a valid @clearme.com email address or verified CLEAR LinkedIn profile). We encourage candidates to remain alert to job scams and to report any suspicious activity.

About the role Help train and evaluate AI agents on expert-level fluid simulation tasks. You'll take CAD geometry, set up and run simulations, build verified reference solutions, and write Python checks for the agent's results. Requirements A degree in Mechanical or Aerospace Engineering, or a related field such as energy or oil & gas. A PhD is preferred but not required. Several years of hands-on industry or research CFD with OpenFOAM, ANSYS Fluent/CFX or STAR-CCM+, including meshing. Solid verification and validation practice: mesh-independence studies, and validation against experiment or benchmarks. Comfortable with Python and GitHub. English at B2 level or above. Nice to have: aerospace, automotive, offshore or turbomachinery background; multiphase or particle-laden flow experience. Project time expectations For this project, tasks are estimated to require around 10?20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $39 per hour equivalent , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements. Why this freelance opportunity might be a great fit for you? Work fully remote on your own schedule with just a laptop and stable internet connection. Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform. Participate in performance-based bonus programs that reward high-quality work and consistent delivery.

About the role Help train and evaluate AI agents on expert-level fluid simulation tasks. You'll take CAD geometry, set up and run simulations, build verified reference solutions, and write Python checks for the agent's results. Requirements A degree in Mechanical or Aerospace Engineering, or a related field such as energy or oil & gas. A PhD is preferred but not required. Several years of hands-on industry or research CFD with OpenFOAM, ANSYS Fluent/CFX or STAR-CCM+, including meshing. Solid verification and validation practice: mesh-independence studies, and validation against experiment or benchmarks. Comfortable with Python and GitHub. English at B2 level or above. Nice to have: aerospace, automotive, offshore or turbomachinery background; multiphase or particle-laden flow experience. Project time expectations For this project, tasks are estimated to require around 10?20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $39 per hour equivalent , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements. Why this freelance opportunity might be a great fit for you? Work fully remote on your own schedule with just a laptop and stable internet connection. Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform. Participate in performance-based bonus programs that reward high-quality work and consistent delivery.

About the role Help train and evaluate AI agents on expert-level fluid simulation tasks. You'll take CAD geometry, set up and run simulations, build verified reference solutions, and write Python checks for the agent's results. Requirements A degree in Mechanical or Aerospace Engineering, or a related field such as energy or oil & gas. A PhD is preferred but not required. Several years of hands-on industry or research CFD with OpenFOAM, ANSYS Fluent/CFX or STAR-CCM+, including meshing. Solid verification and validation practice: mesh-independence studies, and validation against experiment or benchmarks. Comfortable with Python and GitHub. English at B2 level or above. Nice to have: aerospace, automotive, offshore or turbomachinery background; multiphase or particle-laden flow experience. Project time expectations For this project, tasks are estimated to require around 10?20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $39 per hour equivalent , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements. Why this freelance opportunity might be a great fit for you? Work fully remote on your own schedule with just a laptop and stable internet connection. Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform. Participate in performance-based bonus programs that reward high-quality work and consistent delivery.

Become a part of our caring community The Enterprise AI organization at Humana is a pioneering force, advancing AI innovation enterprise-wide across Humana's Insurance, CenterWell, Growth, and Corporate business segments. By collaborating with world-leading experts, we are at the forefront of delivering cutting-edge AI technologies to improve care quality and experience of millions of consumers. We are actively seeking top talent to develop robust and reusable AI modules and pipelines, ensuring adherence to best practices in accountable AI. Join us in shaping the future of healthcare through AI excellence. We are seeking an AI Engineer who will contribute to Generative AI initiatives at Humana, leveraging state-of-the-art LLMs to build applications. Our goal is to create safe AI solutions that will revolutionize and improve healthcare experience and outcomes for our customers. Join our rapidly expanding team of dedicated data scientists, engineers, policy experts, and business leaders as we work together to build impactful and beneficial AI systems. Key Responsibilities AI Innovation & Responsible Generative AI Design and develop AI solutions using Python, AI/ML and generative models like LLMs. Ensure responsible development aligned with Humana's ethical standards, focusing on transparency, safety, and real-world impact. Agentic AI System Design Build autonomous AI agents using frameworks (i.e. LangChain, LangGraph, AutoGen, CrewAI) to support reasoning and decision-making in healthcare. Enterprise Integration & Business Collaboration Embed AI into Humana's systems and workflows. Partner with business teams to understand challenges, co-create solutions, and communicate AI capabilities clearly—especially around generative AI. Design for scalability, reliability, and compliance. MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices for deploying and maintaining AI models in production. Execution of data science initiatives, including design, development, and implementation. Collaborate with data scientists, date engineers, software engineers, and stakeholders to deliver high impact AI use case solutions. Develop and maintain advanced AI/machine learning models and algorithms. Design and implement robust monitoring capabilities to maintain optimal performance and reliability. Experience in creating reports, projections, models, and presentations to business stakeholders. Experience with AI coding assistants Required Qualifications Use your skills to make an impact Bachelor's Degree and 2 or more years of applicable experience OR Master's Degree and 1 or more year of experience preferably with a focus on developing production-ready AI solutions Experience with Agentic AI System Design Experience collaborating with MLOps and DevOps teams Proficiency in SQL, Python, PySpark, and data analysis/data mining tools Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch Experience with high performance, large-scale ML systems Experience with language modeling with transformers Experience with large-scale ETL Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location Options: Louisville, KY Boston, MA New York, NY Dallas, TX Tampa, FL Washington, DC (Arlington, VA) Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $97,900 - $133,500 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. Description Of Benefits Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities. About Us About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com. Equal Opportunity Employer It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

Become a part of our caring community The Enterprise AI organization at Humana is a pioneering force, advancing AI innovation enterprise-wide across Humana's Insurance, CenterWell, Growth, and Corporate business segments. By collaborating with world-leading experts, we are at the forefront of delivering cutting-edge AI technologies to improve care quality and experience of millions of consumers. We are actively seeking top talent to develop robust and reusable AI modules and pipelines, ensuring adherence to best practices in accountable AI. Join us in shaping the future of healthcare through AI excellence. We are seeking an AI Engineer who will contribute to Generative AI initiatives at Humana, leveraging state-of-the-art LLMs to build applications. Our goal is to create safe AI solutions that will revolutionize and improve healthcare experience and outcomes for our customers. Join our rapidly expanding team of dedicated data scientists, engineers, policy experts, and business leaders as we work together to build impactful and beneficial AI systems. Key Responsibilities AI Innovation & Responsible Generative AI Design and develop AI solutions using Python, AI/ML and generative models like LLMs. Ensure responsible development aligned with Humana's ethical standards, focusing on transparency, safety, and real-world impact. Agentic AI System Design Build autonomous AI agents using frameworks (i.e. LangChain, LangGraph, AutoGen, CrewAI) to support reasoning and decision-making in healthcare. Enterprise Integration & Business Collaboration Embed AI into Humana's systems and workflows. Partner with business teams to understand challenges, co-create solutions, and communicate AI capabilities clearly—especially around generative AI. Design for scalability, reliability, and compliance. MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices for deploying and maintaining AI models in production. Execution of data science initiatives, including design, development, and implementation. Collaborate with data scientists, date engineers, software engineers, and stakeholders to deliver high impact AI use case solutions. Develop and maintain advanced AI/machine learning models and algorithms. Design and implement robust monitoring capabilities to maintain optimal performance and reliability. Experience in creating reports, projections, models, and presentations to business stakeholders. Experience with AI coding assistants Required Qualifications Use your skills to make an impact Bachelor's Degree and 2 or more years of applicable experience OR Master's Degree and 1 or more year of experience preferably with a focus on developing production-ready AI solutions Experience with Agentic AI System Design Experience collaborating with MLOps and DevOps teams Proficiency in SQL, Python, PySpark, and data analysis/data mining tools Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch Experience with high performance, large-scale ML systems Experience with language modeling with transformers Experience with large-scale ETL Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location Options: Louisville, KY Boston, MA New York, NY Dallas, TX Tampa, FL Washington, DC (Arlington, VA) Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $97,900 - $133,500 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. Description Of Benefits Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities. About Us About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com. Equal Opportunity Employer It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.