AI Engineer - Multiple Openings and Multiple Seniority Levels (AI)

Location: Remote - US; position associated with Georgia, United States

Salary: USD $82,000–$92,000 for mid-level openings; USD $108,000–$118,000 for the senior-level opening. Final salary depends on skills, qualifications, and approved funding.

Company

hirify.global provides professional and federal solutions, supporting the Centers for Disease Control and Prevention through a contingent contract-award position.

What you will do

• Build, enhance, and support production generative AI applications, web-based AI solutions, knowledge assistants, chatbots, and conversational experiences.
• Develop Python backend services and cloud-native AI applications using Azure OpenAI, Azure AI Foundry, Foundry Agent Service, and related Azure services.
• Implement RAG pipelines covering document processing, chunking, embeddings, search, context preparation, retrieval filters, and source citations.
• Design agent and multi-agent workflows with tool calling, structured outputs, context management, guardrails, execution limits, error handling, and human review.
• Integrate AI applications with APIs, enterprise data sources, databases, cloud services, and MCP-based tools.
• Evaluate, troubleshoot, monitor, document, and deploy production applications while collaborating with engineering, architecture, and DevSecOps teams.

Requirements

• Mid-level: 3+ years of technical experience, including production software development and support; 1+ year of hands-on generative AI development.
• Senior-level: 5+ years of hands-on technical experience, including building, deploying, and supporting production applications; 2+ years of client-facing generative AI delivery experience.
• Strong Python backend development experience, including asynchronous programming, APIs, FastAPI, Pydantic, or comparable tools.
• Hands-on RAG experience with document processing, chunking, embeddings, vector or hybrid search, semantic ranking, query rewriting, retrieval filters, multi-turn context, and citations.
• Experience implementing agent or multi-agent workflows with tool/function calling, structured outputs, context management, execution limits, and error handling.
• Experience with Azure, including Azure OpenAI and Azure AI Search, plus cloud-hosted service integration; senior candidates must have experience with Azure AI Foundry Agent Service.
• Experience with REST APIs, JSON interfaces, databases, external service integrations, Git, code reviews, automated testing, CI/CD, issue tracking, and Agile/Scrum delivery.
• Ability to evaluate and troubleshoot LLM applications using test datasets, logs, tracing, and monitoring to assess quality, correctness, retrieval relevance, latency, reliability, and cost.
• Bachelor’s degree in computer science, engineering, or a related field. Senior candidates must be able to obtain and maintain a Public Trust or suitability determination as required by the client or contract.

Culture & Benefits

• Regular full-time employment with teamwork, management engagement, quality leadership, performance recognition, and promotion opportunities.
• Remote work permitted for the US.
• Paid time off, 11 paid holidays, and applicable sick leave.
• Medical, dental, vision, prescription, disability, life, and AD&D insurance, plus employee assistance support.
• Flexible spending, health savings, health reimbursement, dependent care, commuter, retirement, and voluntary insurance benefits.

Hiring process

• The position is contingent on a contract award, and details may change after the final award.
• Multiple openings are available: two mid-level positions and one senior-level position.