Design and build core agent platform and orchestration.
Develop reusable agent skills and a standardized tool ecosystem.
Implement enterprise-grade controls for agent execution.
Design and implement RAG services, including retrieval, embeddings, and citations.
Define evaluation frameworks and quality metrics.
Establish observability and optimize latency, throughput, and cost.

🎯 Requirements

BS in CS/AI/EE or related field; advanced degree preferred.
5+ years of software engineering; prod-grade LLM/agent/RAG.
Proven track record shipping AI-powered features in production.
Strong Python skills (API design, testing, error handling).
Graph databases/knowledge graphs (GraphRAG) experience.
Agent frameworks: LangChain, LangGraph, AutoGen, LlamaIndex.

🎁 Benefits

Competitive compensation and benefits package.
Hybrid work model in Toronto with in-office days.
Total rewards program and career development.
Flexible work options and work-life balance.

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