AI Engineer

Responsibilities

Build, enhance, and support production generative AI applications and web-based AI solutions. Collaborate with cross-functional teams to integrate AI applications with enterprise data sources and cloud services.

Requirements

Requires 5+ years of technical experience in software engineering or related fields, including 2+ years of hands-on experience building generative AI solutions. Candidates must be U.S. citizens or lawful permanent residents and possess a bachelor's degree in a relevant field.

Skills

• Generative AI
• Python
• Azure AI Foundry
• Azure OpenAI
• RAG
• Chatbot development
• Agentic workflows
• FastAPI
• Pydantic
• Azure AI Search
• Cloud-native development
• REST APIs
• CI/CD
• Git
• Software engineering
• Data engineering

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Life insurance
• Paid time off
• 401k with company match

About this role

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 www.metassolutions.com for further details about us and careers with Metas.
Job Description:
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. This is a Remote position, and 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 DevSecOps 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.
Responsibilities:
Build, enhance, and support production generative AI applications and web-based AI solutions.
Develop AI applications using Azure AI Foundry, Azure OpenAI, and Foundry Agent Service.
Build and improve advanced retrieval-augmented generation (RAG) systems, knowledge assistants, chatbots, and multi-turn conversational experiences.
Implement agent and multi-agent workflows using tool/function calling, structured outputs, controlled execution, 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 backend services using Python, web frameworks, containers, and Azure services.
Test, evaluate, and monitor AI applications to improve retrieval relevance, answer correctness and grounding, reliability, latency, and cost.
Work with AI engineers, software engineers, architects, and DevSecOps teams to deliver maintainable production applications.
Qualifications:
5+ years of hands-on technical experience in software engineering, web application development, data engineering, data science, machine learning, or a related technical discipline, including building, deploying, and supporting production applications
2+ years of hands-on, client-facing experience building generative AI solutions, including practical delivery of RAG-based knowledge assistants
Strong Python application development experience, including asynchronous programming, APIs, backend services, and frameworks such as FastAPI and Pydantic or comparable tools
Hands-on experience with advanced RAG techniques, including document chunking, embeddings, hybrid keyword/vector search, semantic ranking, query rewriting, retrieval filters, multi-turn context, and source citations
Hands-on experience implementing agentic and multi-agent workflows, including intent-based routing, tool/function calling, structured outputs, context management, and execution limits and error handling
Experience with at least one agent framework, such as PydanticAI, Microsoft Agent Framework, LangGraph, or a comparable framework, and with Azure AI Foundry Agent Service
Hands-on experience with Microsoft Azure, including Azure OpenAI and Azure AI Search, and deploying or integrating applications with cloud-hosted services
Experience with REST APIs, JSON-based interfaces, databases, and external service integrations
Experience evaluating and troubleshooting LLM applications using test datasets, tracing, and monitoring to assess answer correctness, retrieval quality, latency, and cost
Experience using modern software-development practices, including Git, pull requests, code reviews, automated testing, CI/CD, issue tracking, and Agile/Scrum delivery practices
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)
Additional Qualifications:
Experience with containerized or cloud-native application development, including Docker, Azure Container Apps, Azure App Service, or similar services
Experience with Model Context Protocol (MCP) integrations for connecting agents to enterprise tools and data sources
Experience with enterprise authentication and authorization technologies, such as OAuth2/OIDC, JWT, Microsoft Entra ID, and MSAL
Experience with frontend application development using TypeScript, Angular, React, or similar technologies
Experience working in government, healthcare, or other regulated environments
Exposure to fine-tuning, hosting, or serving open-source LLMs and working with model-serving frameworks
Knowledge of AI governance, responsible AI principles, prompt-injection defenses, and controls for protecting enterprise data and tool access
Ability to work effectively in a cross-functional engineering environment and clearly communicate technical problems, implementation decisions, and trade-offs to technical and non-technical stakeholders
Security Requirements:
Must be US Citizen and with the ability to obtain a US Government security clearance (Public Trust 5) within a reasonable period
Market competitive salary, commensurate with experience and education
Comprehensive benefits package available, Medical, Dental, Vision and Life Insurance, Paid Time Off (PTO), 401K with company match, growth, and promotion opportunities
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About Metas Solutions

Business Consulting and Services · 51-200 employees · headquartered in Atlanta, Georgia · founded 2014