Build production LLM features and agents with Python, AWS, and retrieval/RAG for an energy solutions platform. Work across operations, tracking, and decision-making systems. This mid-to-senior Applied AI Engineer will ship AI capabilities from prototype through production. You will work with product teams, define technical criteria, and identify measurable opportunities across energy portfolios. The stack includes Python services, Node.js/TypeScript, Ruby on Rails, PostgreSQL, Snowflake, and AWS. Key Responsibilities:
Define technical criteria with product teams Identify high-value AI applications and success measures Build and ship LLM-powered features and agents Own retrieval and RAG over prepared data Refine customer-facing AI features Requirements:
Production experience shipping LLM features or agents Production Python or Node.js/TypeScript experience Prompt, tool, structured output, retrieval, and agent orchestration skills AWS AI services experience, preferably AWS Bedrock Solid English and communication skills Apply applied AI engineering expertise to production agents, retrieval systems, and measurable energy operations improvements.