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.

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📌 Applied AI Engineer LLM Agents (Manitoba)
🏢 Luxoft
📍 Manitoba