AI Engineer

Location: USA; U.S. citizenship or lawful permanent residency is required

Company

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

What you will do

• Build and enhance production generative AI applications and web-based AI solutions.
• Develop retrieval-augmented generation systems, knowledge assistants, chatbots, and agentic workflows.
• Implement LLM and agent workflows with tools, structured outputs, guardrails, and human review.
• Integrate AI applications with APIs, enterprise data sources, databases, cloud services, and MCP-based tools.
• Develop secure cloud-native services and user interfaces using Python, web frameworks, containers, and Azure services.
• Test, evaluate, monitor, and improve AI application quality, reliability, latency, and cost.

Requirements

• At least 5 years of technical experience in software engineering, web application development, data engineering, data science, machine learning, or a related field.
• At least 1 year of hands-on experience building generative AI or agentic AI solutions, including LLM APIs, prompt engineering, tool calling, structured outputs, or RAG.
• Experience with Python, APIs, backend services, data pipelines, web frameworks, REST, JSON, authentication, and external service integrations.
• Experience with Azure or AWS and modern software development practices including Git, code reviews, issue tracking, and Agile/Scrum.
• Knowledge of LLM fundamentals, embeddings, retrieval, structured outputs, and model response evaluation.
• U.S. citizenship or lawful permanent residency is required, along with the ability to obtain and maintain a Public Trust or other required U.S. government suitability determination.

Nice to have

• Experience with Docker, Azure Container Apps, Azure App Service, CI/CD, automated testing, and cloud-based deployment.
• Experience with MCP integrations, multi-agent systems, LLM evaluation, tracing, monitoring, and observability.
• Experience in government, healthcare, or other regulated environments.
• Exposure to open-source LLM fine-tuning, hosting, model serving, AI governance, responsible AI, and security practices.
• Knowledge of Microsoft Agent Framework, LangGraph, PydanticAI, or similar agent frameworks.

Culture & Benefits

• Cross-functional collaboration with AI, software, data, cloud, architecture, product, and DevSecOps specialists.
• Medical, dental, vision, and life insurance.
• Paid time off and a 401(k) with company match.
• Growth and promotion opportunities.
• Market-competitive salary based on experience and education.