AI Engineer

Location: Hybrid role based in Atlanta, Georgia, or the Washington, DC / Maryland / Virginia area; onsite and remote work

Salary: $155,000 annually

Company

hirify.global delivers outsourced services and workforce solutions across North America.

What you will do

• Build and enhance production generative AI applications and web-based AI solutions.
• Develop applications with Azure AI Foundry, Azure OpenAI, and Foundry Agent Service.
• Build RAG systems, knowledge assistants, chatbots, and agentic workflows using tools, structured outputs, guardrails, and human review.
• Integrate AI applications with APIs, enterprise data, databases, cloud services, and MCP-based tools.
• Develop secure cloud-native services and user interfaces with Python, web frameworks, containers, and Azure.
• Test, evaluate, and monitor AI applications while collaborating with software, AI, architecture, and DevSecOps teams.

Requirements

• 5+ years of technical experience in software engineering, web development, data engineering, data science, machine learning, or a related discipline.
• At least 1 year of experience building generative AI or agentic AI solutions, including LLM APIs, prompt engineering, tool calling, structured outputs, RAG, or agents.
• Experience with Python, REST APIs, JSON interfaces, authentication, backend services, data pipelines, web frameworks, and a major cloud platform such as Azure or AWS.
• Knowledge of LLM fundamentals, including embeddings, retrieval, context windows, structured outputs, and model evaluation.
• Bachelor’s degree in computer science, engineering, or a related field.
• Must be a U.S. Citizen or Lawful Permanent Resident and able to obtain and maintain a Public Trust or suitability determination.

Nice to have

• Containerized and cloud-native development with Docker, Azure Container Apps, or Azure App Service.
• MCP integrations, agent tool calling, and multi-agent systems.
• LLM evaluation, tracing, monitoring, observability, CI/CD, and automated testing.
• Experience with regulated environments, open-source LLM serving, AI governance, or frameworks such as LangGraph and PydanticAI.

Culture & Benefits

• Hybrid onsite and remote work model.
• Cross-functional collaboration with software, AI/ML, data, cloud, and DevSecOps engineers.
• Eligible employees may receive medical, dental, vision, spending account, life insurance, and voluntary plan options.
• Eligible employees may participate in a 401(k) plan.