AI Engineer

Location: Remote within the United States; must be a U.S. Citizen or Lawful Permanent Resident and able to obtain a U.S. Government Public Trust 5 suitability determination/security clearance.

Company

hirify.global provides strategic consulting, program management, and data-driven analytics for federal public health agencies.

What you will do

• Build, enhance, and support production generative AI and web-based AI applications.
• Develop retrieval-augmented knowledge assistants, chatbots, multi-turn conversational experiences, and agentic or multi-agent workflows using Azure AI Foundry, Azure OpenAI, and Foundry Agent Service.
• 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 applications for retrieval relevance, answer correctness and grounding, reliability, latency, and cost.
• Collaborate with architects, product owners, AI and data engineers, software engineers, and DevSecOps teams on maintainable production solutions.

Requirements

• 5+ years of technical experience in software engineering, web application development, data engineering, data science, machine learning, or a related discipline, including building, deploying, and supporting production applications.
• 2+ years of client-facing experience delivering generative AI solutions, including RAG-based knowledge assistants.
• Strong Python development experience with asynchronous programming, APIs, backend services, and FastAPI, Pydantic, or comparable tools.
• Hands-on experience with advanced RAG techniques, including chunking, embeddings, hybrid keyword/vector search, semantic ranking, query rewriting, retrieval filters, multi-turn context, and source citations.
• Hands-on experience with agentic and multi-agent workflows, including routing, tool or function calling, structured outputs, context management, execution limits, and error handling.
• Experience with an agent framework such as PydanticAI, Microsoft Agent Framework, LangGraph, or a comparable framework, and Azure AI Foundry Agent Service.
• Experience with Microsoft Azure, including Azure OpenAI, Azure AI Search, and cloud-hosted application deployment or integration.
• Experience with REST APIs, JSON interfaces, databases, external service integrations, LLM evaluation, tracing, monitoring, Git, code reviews, automated testing, CI/CD, issue tracking, and Agile/Scrum practices.
• Must be a U.S. Citizen or Lawful Permanent Resident and able 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.

Nice to have

• Containerized or cloud-native development with Docker, Azure Container Apps, Azure App Service, or similar services.
• Model Context Protocol integrations; enterprise authentication and authorization with OAuth2/OIDC, JWT, Microsoft Entra ID, or MSAL.
• Frontend development with TypeScript, Angular, React, or similar technologies.
• Experience in government, healthcare, or other regulated environments.
• Exposure to fine-tuning, hosting, or serving open-source LLMs and model-serving frameworks.
• Knowledge of AI governance, responsible AI, prompt-injection defenses, and enterprise data and tool-access controls.
• Ability to communicate technical problems, implementation decisions, and trade-offs to technical and non-technical stakeholders.

Culture & Benefits

• Remote position supporting federal public health initiatives.
• Market-competitive salary based on experience and education.
• Medical, dental, vision, and life insurance.
• Paid time off and 401(k) with company match.
• Growth and promotion opportunities.
• AI-generated or third-party responses are not permitted during interviews and may result in disqualification.