AI Engineer

Metas Solutions excels in providing strategic consulting, program management, and data-driven analytics to federal public health agencies. Our expertise enhances health systems and delivers measurable outcomes, helping agencies achieve their mission. We collaborate with federal partners to implement agile solutions for national public health initiatives, driving impactful changes through cutting-edge programs that strengthen communities and promote well-being. See  for further details about us and careers with Metas.

Metas Solutions has an "immediate opening" for a talented AI Engineer to define and deliver mission-critical AI-enabled web applications that address complex, high-impact client challenges. You will apply modern generative AI techniques to design and build retrieval-based knowledge assistants, chatbot experiences, and agentic workflows that integrate data processing, orchestration, and multi-agent components behind intuitive user interfaces. You will collaborate with enterprise and solutions architects, product owners, AI engineers, data engineers, and Dev Sec Ops  teams to deliver secure, scalable, and maintainable production solutions.

Your technical expertise will help clients translate emerging AI capabilities into practical applications that improve how people access information, make decisions, and carry out their work.

• Build and enhance production generative AI applications and web-based AI solutions
• Develop AI applications using Azure AI Foundry, Azure OpenAI, and Foundry Agent Service
• Build retrieval-augmented generation (RAG) systems, knowledge assistants, chatbots, and agentic workflows
• Implement agent and LLM workflows that use tools, structured outputs, guardrails, and human review where needed
• Integrate AI applications with APIs, enterprise data sources, databases, cloud services, and MCP-based tools
• Develop secure, cloud-native application services and user interfaces using Python, web frameworks, containers, and Azure services
• Test, evaluate, and monitor AI applications to improve quality, reliability, latency, and cost
• Work with AI engineers, software engineers, architects, and Dev Sec Ops  teams to deliver maintainable production applications

• 5+ years of hands-on technical experience in software engineering, web application development, data engineering, data science, machine learning, or related technical discipline
• 1+ years of hands-on experience building generative AI or agentic AI solutions, including LLM APIs, prompt engineering, tool/function calling, structured outputs, retrieval-augmented generation (RAG), agents, or similar techniques
• Experience developing applications with Python and working with APIs, backend services, data pipelines, and web application frameworks
• Experience with REST APIs, JSON-based interfaces, authentication mechanisms, and external service integrations
• Experience with at least one major cloud platform, such as Microsoft Azure or AWS, including deploying or integrating applications with cloud-hosted services
• Experience using modern software-development practices and collaboration tools, such as Git, Git Hub, Jira, pull requests, code reviews, issue tracking, and Agile/Scrum delivery practices
• Knowledge of LLM application fundamentals, including tokens, context windows, system and user prompts, model parameters, structured outputs, embeddings, retrieval, and techniques for guiding and evaluating model responses
• Ability to obtain and maintain a Public Trust or suitability determination, as required by the client or contract
• Bachelor's degree in computer science, engineering, or a related field
• Must be a U.S. Citizen or Lawful Permanent Resident (Green Card Holder)

• Expe…