Key skills
ETLPythonSQLTypeScriptVue.jsAIMachine LearningMLLLMLangChainQdrantPineconeWeaviateVue
About this role
Role Overview
- Design and implement interaction logic for a multi-agent ecosystem where distinct agents collaborate to create a single, verifiable source of truth
- Design and build pipelines that allow AI systems to query user catalogs, publication metadata, mastering history, engagement statistics, and platform behavior instantly
- Manage access to real-time data at large scale
- Build clean, fast interfaces that allow our AI orchestrator to access user context without touching production databases directly
- Balance the use of costly LLM calls with deterministic logic to optimize cost and latency at scale
- Work with the AI Product Manager and full‑stack developers to translate complex backend logic into a conversational, seamless user experience
- Implement strict validation layers to prevent hallucinations around critical compliance rules and external policies, and ensure user data is handled securely
Requirements
- Proven experience building production-grade agentive systems (LangChain, AutoGPT, or custom orchestrators)
- Hands-on experience with contextual LLM systems – you’ve worked on RAG systems, context windows, or AI products that require custom access to data
- Proficiency in Python, SQL, and ETL patterns for structuring data for AI retrieval
- Experience with vector databases and semantic search – you understand integrations, similarity search, and how to structure data for AI retrieval (Pinecone, Weaviate, Qdrant, or similar)
- Experience implementing “LLM-as-a-judge” workflows or human-in-the-loop processes to measure accuracy
- Fundamental knowledge of machine learning (ML) – you understand supervised and unsupervised learning and can evaluate trade-offs when selecting models
Tech Stack
- ETL
- Python
- SQL
- TypeScript
- Vue.js
Benefits
- Health insurance coverage, with access to virtual doctors via Maple and an employee assistance program (via Homewood)
- Access to our RRSP program, including an employer contribution of up to 2% of your annual salary
- Frequent office and social events (catered lunches on Mondays, bagel Tuesdays, 5@7 socials, etc.)
- Your birthday is a paid day off
- Annual allowances for public transit (Montreal employees) and fitness activities
- Free access to our music studio (for practice or recording)
- Free access to LANDR and Reason products
- Open-plan downtown office near Square-Victoria metro station
- Partnerships with local music events and festivals (MUTEK, Pop Montréal, Igloofest…)