Ingénieur plateforme IA / AI Platform Engineer

LANDR•Montreal, QC

140d•Onsite

About The Position

LANDR is a fast-growing audio company made up of left-brained creative technologists, right-brained music professionals and everyone in between. Together, we are revolutionizing the process for music makers to help them create, master, distribute and promote their music. We love music. We love musicians. Our mission is to give music makers the freedom to create and be heard. We bring our love of music to the office every day and we are continuously innovating to create experiences that delight and engage our audience of over 6 million music creators. The Opportunity We're reimagining how music creators interact with LANDR using conversational AI. Music creation and distribution are complex. Creators today navigate dozens of menus, tools, and workflows just to accomplish simple goals. We believe there's a better way. You will be the architect of this intelligence. You will design a collaborative ecosystem of AI agents that can "think" about user intent, validate data against strict external rules, and proactively solve problems before they occur.

Requirements

Agentic Frameworks – Proven experience building production-grade agentic systems (LangChain, AutoGPT, or custom orchestrators).
Hands-on experience with LLM context patterns - You've worked on RAG systems, context windows, or AI products that require personalized data access
Strong Data Foundation – Proficiency in Python, SQL, and ETL patterns to structure data for AI retrieval.
Experience with vector databases and semantic search - You understand embeddings, similarity search, and how to structure data for AI retrieval (Pinecone, Weaviate, Qdrant, or similar)
LLM Evaluation – Experience setting up "LLM-as-a-judge" or human-in-the-loop workflows to measure accuracy.

Nice To Haves

Foundational ML knowledge - You understand supervised and unsupervised learning, can reason about model selection tradeoffs, and bring that lens to infrastructure decisions

Responsibilities

Agentic Architecture – Architect and implement the interaction logic for a multi-agent ecosystem where distinct agents collaborate to build a single, verifiable source of truth.
Data Architecture - Design and build pipelines that make user catalogs, release metadata, mastering history, engagement stats, and platform behavior instantly queryable by AI systems
Pipeline Optimization - Handle real-time data access at scale. When 10,000 users are talking simultaneously, context retrieval can't be the bottleneck.
API Design - Build clean, fast interfaces that let our AI orchestrator access user context without touching production databases directly
System Optimization – Balance the use of expensive LLMs with deterministic logic to optimize for cost and latency at scale.
Product Collaboration – Work with AI Product owner and full-stack developers to translate complex backend logic into a seamless, conversational user experience.
Guardrails & Safety – Implement strict validation layers to prevent hallucinations on critical compliance rules and external policies as well as ensure user data is handled securely, with clear boundaries around what AI can access and how we use it.

Benefits

Competitive compensation, based on your role, experience and expertise
Health insurance coverage, with access to a doctor via Maple and to an Employee Assistance Program (via PeopleConnect)
RRSP program, including an employer matching contribution of up to 2% of your annual salary
Frequent office and social events (Catering on Monday, Bagel Tuesdays, 5@7, etc.)
Your birthday is a free day
Annual public transit (Montreal employees) & sport activity allowance
Free access to our music studio (for practice or recording)
Free access to LANDR and Reason products
Open office space in Downtown close to Square-Victoria Metro Station
LANDR Band
Partnerships with local music events & festivals (MUTEK, Pop Montreal, Igloofest…)