Staff Engineer / AI Builder Canada - Remote We’re looking for a Staff AI Builder to lead the design and delivery of AI/ML systems. This role is ideal for an experienced engineer who thrives on architectural decisions, can confidently own systems end-to-end, and contributes to technical leadership across the team. In this role, you will work as a key technical leader on a cross-functional team, defining AI architecture, leading model development and optimization, and solving challenging integration problems.

You’ll establish engineering standards, raise the bar on how we build AI systems, and contribute to the technical decisions that shape how our AI work scales over time.

Why This Role

MattersAt Robots & Pencils, we design AI systems for a human world. Robots and pencils means engineering paired with creativity, because every agent we ship has to work for real people in real workflows. Here, you shape how AI systems integrate into enterprise operations, how teams move at real velocity, and how products create measurable impact for clients and the people they serve.

We ship production-ready AI in 30 to 45 days. What You’ll DoAgentic & GenAI Engineering Build and maintain RAG pipelines: chunking strategy, embeddings, vector search (OpenSearch), re-ranking, and staleness/refresh handling for energetic knowledge sources Integrate with AWS Bedrock and Agent Core, including MCP-based tool design — writing tool descriptions precise enough that an orchestrator routes correctly every time Build eval and observability into every agent you ship : golden datasets, RAGAS-style metrics, LLM-as-judge (as both a runtime guardrail and an offline eval), and tracing via LangFuse/LangSmith or equivalent Full-Stack & Platform Engineering Build backend services in Python and Node.Js, including serverless architectures (AWS Lambda, API Gateway)



that support agentic workflows Design DynamoDB single-table schemas — composite keys, transactional writes — for conversation state, agent memory, and session history Contribute to frontend integration points so agentic features land cleanly for end users, and write clean, well-tested code across the stack Support deployment, monitoring, and production troubleshooting in cloud-native environments (AWS, Docker), with guidance from senior engineers where needed Collaboration & Technical Leadership Bring informed technical judgment to architecture discussions — naming the real trade-offs of a pattern (e.Partner with product, design, and delivery leads across global teams to scope and ship features end-to-end Mentor other engineers on the pod and help raise the bar on agentic engineering practices, including AI-assisted development tools like Claude Code 6+ years of professional software engineering experience, including meaningful time shipping GenAI/LLM-powered systems in production — not just prototypes agentic AI : reasoning loops, tool/function calling, multi-agent orchestration, and a considered point of view on when single-agent design beats multi-agent, and why RAG expertise : chunking strategies, embeddings, vector databases (OpenSearch or similar), cosine similarity search, and re-ranking — you can explain the mechanism, not just the terminology Experience building prompt engineering AWS GenAI stack : Strong Python and Node.Js skills, with experience building full-stack applications and RESTful APIs Solid understanding of production reliability patterns for LLM‑backed systems: retries/backoff, circuit breakers, fallback models — as a bundle, not a single tactic Experience with containerization (Docker) and cloud-native deployment Direct experience with Amazon Bedrock Agent Core — agent registration, MCP tool wiring, memory/session management, gateway provisioning CAD #

📌 Staff Engineer / Ai Builder (Winnipeg)
🏢 F5 Remote Jobs
📍 Winnipeg