AI Process Engineer

Enterprise AI Engineer (GenAI Process Engineering)
80% Remote | Enterprise Transformation |
Industry: Healthcare Insurance
Remote | Healthcare | Enterprise Transformation

• Strong hands-on software development experience with Python (or another AI-focused programming language).
• Practical experience building AI applications using LLMs, including prompt orchestration and model integration.
• Foundational understanding of modern AI architectures and patterns, including:
  • Retrieval-Augmented Generation (RAG)
  • Model Context Protocol (MCP)
  • Autonomous/Agentic AI systems
• Experience building AI workflows using frameworks such as LangChain and LangGraph.
• Ability to integrate and orchestrate multiple LLM providers (e.g., OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, Gemini) within enterprise applications.
• Experience engineering production-ready AI solutions using APIs, tool calling, and workflow orchestration.
• Comfortable collaborating across business, architecture, and data teams to translate business processes into scalable AI-enabled solutions.

Ideal Candidate
You are a builder first. You write code, understand modern GenAI architecture, and can engineer enterprise AI solutions from concept through implementation—not simply consume AI tools or write prompts.