Build LLM-powered product features at Remarcable using Python, RAG, embeddings, and production APIs across data-rich contractor workflows.As an AI Engineer, you will design, ship, monitor, and improve machine learning capabilities for procurement, inventory, accounting, and supplier data. You will work with Product, Data, and Full Stack Engineering teams while reporting to the VP of Engineering. The work spans intelligent invoice matching, document extraction, catalog normalization, purchasing suggestions, and an internal AI assistant. You will help establish evaluation, infrastructure, and guardrail patterns for future AI features.Key Responsibilities:
Design and ship LLM-powered features across Remarcable’s platformBuild RAG pipelines, agentic workflows, embeddings, and vector searchOwn prototypes, production rollouts, monitoring,



and iterationIntegrate model providers based on quality, latency, and costCreate evaluations, tests, and privacy guardrails for AI featuresRequirements:
Four-plus years of software engineering experienceOne to two years shipping LLM or machine learning featuresStrong Python, production API, SQL, and data skillsExperience with LLM APIs, prompt design, RAG, and embeddingsCloud infrastructure, CI/CD, observability, and model evaluation experienceApply production engineering judgment to LLM features, retrieval systems, evaluations, and AI infrastructure at Remarcable.
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📌 Llm Machine Learning Engineer (Winnipeg)
🏢 Timo Labs
📍 Winnipeg