AI Engineer

Metas Solutions; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

Metas Solutions in the United States is seeking an AI Engineer to define and deliver mission-critical AI-enabled web applications. You will apply generative AI to build retrieval-based knowledge assistants, chatbots, and agentic workflows behind user-friendly interfaces.

Collaborate with enterprise architects, product owners, and DevSecOps teams to deliver secure, scalable solutions. You will develop with Python, Azure services, and containerized deployments, focusing on performance,

Qualifications

• 5+ years in software engineering or related field.
• 1+ year in generative/agentic AI incl. LLM APIs.
• Experience with Python, APIs, data pipelines, and web frameworks.
• REST APIs, JSON interfaces, authentication, and external integrations.
• Cloud experience (Azure or AWS) with deployment/integration of cloud services.
• Git, Jira, Agile/Scrum practices and code reviews.
• Knowledge of LLM fundamentals: prompts, tokens, context windows, outputs.
• Eligibility to obtain Public Trust/suitability for government contracts.
• Bachelor's degree in CS/engineering or related field.
• US Citizenship or Green Card holder.

Responsibilities

• Build and enhance production generative AI applications and web-based AI solutions.
• Develop AI apps using Azure AI Foundry,Azure OpenAI,Foundry Agent Service.
• Build retrieval-augmented generation systems, knowledge assistants, chatbots, and agentic workflows.
• Implement agent and LLM workflows with tools, guardrails, and human review as needed.
• Integrate AI apps with APIs, enterprise data sources, databases, cloud services, and MCP tools.
• Develop secure, cloud-native services and UIs using Python, web frameworks, containers, and Azure services.
• Test, evaluate, and monitor AI apps for quality, latency, and cost.
• Collaborate with AI engineers, software engineers, architects, and DevSecOps teams.

Skills

AI/ML fundamentals

Python programming

REST APIs

Cloud platforms (Azure/AWS)

Git & Agile

Cross-functional collaboration

Education

Bachelor's degree in computer science or related field

Tools

Azure OpenAI

Foundry Agent Service

Docker

Azure Container Apps

Azure App Service

Job description

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. 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 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 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 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, GitHub, 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)

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 and agent tool calling, including hands-on development of multi-agent systems
• Experience with implementing LLM evaluation, tracing, monitoring, and observability capabilities
• Experience with CI/CD, automated testing, and cloud-based development and deployment practices for AI applications
• 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, and related security and risk-management practices
• Knowledge of AI agent frameworks such as Microsoft Agent Framework, LangGraph, PydanticAI, or similar tools
• Ability to work effectively in a cross-functional engineering environment and collaborate with software, AI/ML, data, cloud, and DevSecOps engineers
• Ability to clearly communicate technical problems, implementation decisions, and trade-offs to both 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

Notice on Candidate AI Usage

Metas Solutions is committed to maintaining a fair and competitive interview process for all candidates, based on their experience, skills, and education. To preserve the integrity and fairness of our interview process, candidates are expected to respond to all interview questions based on their own knowledge, skills, and experience. The use of artificial intelligence (AI) tools or other third-party resources to generate, assist with, or provide interview responses during phone, virtual, or in-person interviews is not permitted. Any use of AI-assisted responses during the interview process may result in disqualification from further consideration for employment.

We are an Equal Opportunity Employer/Veterans/Disabled