Mid-Level AI Engineer

KR3 Information Systems is hiring Mid-Level AI Engineers to develop and support production-grade Generative AI applications. The role focuses on Python-based AI solutions, including RAG applications and agentic workflows, built with Microsoft Azure AI technologies.

Responsibilities:

• Develop and maintain production-ready Generative AI applications and web-based AI solutions
• Build Python backend services and integrate Azure OpenAI, Azure AI Foundry, and other Azure services
• Develop RAG pipelines involving document processing, chunking, embeddings, vector/hybrid search, and source citations
• Implement AI agents and workflows using tool/function calling, structured outputs, and context management
• Integrate AI applications with APIs, databases, enterprise data sources, and external services
• Evaluate LLM performance, response accuracy, retrieval relevance, latency, and cost
• Implement logging, monitoring, and tracing to improve application reliability and performance
• Troubleshoot application issues, resolve defects, and support production deployments
• Collaborate with engineering teams through code reviews, testing, documentation, and Agile delivery

Requirements:

• U.S. Citizens or Green Card Holders (GC)
• 3+ years of overall software development experience, including production application development
• At least 1 year of hands-on Generative AI development experience
• Practical experience building and deploying RAG-based assistants, chatbots, or AI applications
• Strong Python backend development experience, preferably with FastAPI, Pydantic, and asynchronous APIs
• Hands-on experience with Azure OpenAI, Azure AI Search, and integration with databases and external services
• Experience developing AI agent workflows using tool/function calling, structured outputs, and conversation context
• Familiarity with frameworks such as PydanticAI, LangGraph, Microsoft Agent Framework, or Azure AI Foundry Agent Service
• Experience with Git, automated testing, CI/CD pipelines, code reviews, and Agile methodologies
• Ability to evaluate and troubleshoot LLM applications using test datasets, logs, and traces
• Bachelor's degree in Computer Science, Engineering, or a related discipline
• Must be a U.S. Citizen or Green Card Holder and eligible to obtain and maintain the required Public Trust or suitability determination
• Experience with AI observability tools such as Langfuse, Pydantic Logfire, and OpenTelemetry
• Exposure to advanced RAG, multi-agent architectures, and MCP integrations
• Experience with Docker, Azure deployment services, and frontend technologies such as React, Angular, or TypeScript
• Familiarity with open-source LLM hosting frameworks such as vLLM or SGLang
• Knowledge of LLM fine-tuning and optimization techniques, including PEFT, LoRA/QLoRA, and quantization
• Existing CDC badge or previous experience supporting federal/public health projects