AI Engineer

📋 Description

• Design, build, deploy AI apps with enterprise LLMs for PACE needs.
• Ground AI with WelbeHealth data via RAG systems for accuracy.
• Own end-to-end lifecycle for new AI use cases from ideation to prod.
• Build agentic AI workflows using LangChain, LangGraph, or Copilot Studio for autonomous tasks.
• Deploy AI services in Azure private cloud with Docker and secure networks.
• Evaluate frontier models by performance, cost, latency, and compliance.

🎯 Requirements

• Bachelor's degree in CS/AI/CE; master's preferred.
• 3+ years hands-on AI/ML or software with AI focus.
• RAG pipelines with vector DBs, embeddings, chunking, evaluation.
• LLM integration with OpenAI/Anthropic/Google; prompts, function calls.
• Python proficiency for AI apps and data pipelines.
• Azure Cloud services and Docker deployments; private networking.
• DevOps/CI/CD experience (Azure DevOps or equivalent).

🎁 Benefits

• Medical, dental, and vision coverage.
• PTO, holidays, and sick days.
• 401(k) savings with company match.
• Comprehensive benefits package.
• Additional benefits and wellness programs.