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 teamsIdentify high-value AI applications and success measuresBuild and ship LLM-powered features and agentsOwn retrieval and RAG over prepared dataRefine customer-facing AI featuresRequirements:
Production experience shipping LLM features or agentsProduction Python or Node.
Js/TypeScript experiencePrompt, tool, structured output, retrieval, and agent orchestration skillsAWS AI services experience, preferably AWS BedrockStrong English and communication skillsApply applied AI engineering expertise to production agents, retrieval systems, and measurable energy operations improvements.