Senior AI Developer

Role overview

Responsibilities

• Design agentic AI capabilities and supporting infrastructure; build shared tools, frameworks, and services for reliable agents.
• Collaborate with global engineering, operations, product, and data science teams.
• Turn prototypes into secure, scalable, production-ready product capabilities; deploy, monitor, evaluate, and improve them.
• Build evaluation frameworks and reusable development patterns; protect customer data and require explicit consent.
• Act as an AI system design subject-matter expert and contribute to technical direction.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• 5+ years in software engineering or related technical roles; 3+ years building, deploying, and operating production Gen AI or LLM products.
• Strong commercial Python and major cloud provider experience; Google Cloud preferred.
• Strong software engineering fundamentals across system design, API development, testing, observability, and production operations.
• Experience designing production agentic AI systems, including tool use, orchestration, execution, and reliability.
• Experience with Gen AI evaluation frameworks or tools such as LangSmith, MLflow, Langfuse, or similar.
• Familiarity with technologies such as MCP, A2A, LangGraph, Deep Agents, RAG, semantic search, and vector databases.
• Excellent communication and problem-solving skills; ability to work across distributed teams and deliver maintainable products.

Work arrangement

• Hybrid position based in Vancouver, with at least two days per week working from the Vancouver office.

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