Tune the tradeoffs that decide whether an agent is usable: latency, answer quality, and token cost, including the judgement of which to give up in a given workflow
Integrate agents with the systems and data they depend on, and carry them from prototype to something the business can rely on in production
What You'll Bring
Deep expertise in production Python, with strong working knowledge of current agent frameworks and protocols (Claude Agent SDK, deepagents, LangGraph, MCP, or equivalents)
Experience building and debugging agentic systems in production, where failure modes are emergent rather than exceptions: loop instability, tool misuse, unbounded context growth, and non-determinism
A feel for the performance envelope: where latency comes from in a multi-step agent, what a token budget buys, and how to trade quality against both
Evaluation rigour, and the judgement to design measurement that holds up in a business environment rather than a demonstration
Fluency with agentic coding tools in your own workflow, such as Claude Code and Codex. The team is fully immersed in this way of engineering, and we expect it to be part of how you build rather than something reached for occasionally
The profile can come from either direction: a software engineer who has moved into AI systems, or an AI engineer with strong systems fundamentals. Either way we expect engineering discipline, meaning version control, tests, reproducibility, and code the next person can pick up
Strong Preference Given To
Evaluation and tracing tooling for agent behaviour (LangSmith, Weights & Biases, or custom solutions)
Distributed and event-driven systems experience (Kafka or similar)
Retrieval and memory system design for long-running agents
Full-stack development experience integrating agents into user-facing applications
About Chubb
Chubb is the world's largest publicly traded property and casualty insurer, with operations in 54 countries providing commercial and personal insurance, reinsurance, and life insurance to clients worldwide.
We're at the forefront of AI-driven transformation in insurance. Chubb is making strategic investments in artificial intelligence to fundamentally change how we assess risk, serve customers, and operate our business. Combining cutting-edge AI capabilities with our exceptional financial strength, comprehensive product portfolio, and global reach, we're building the future of intelligent insurance solutions.
Chubb Canada does not use artificial intelligence (AI) tools to assess, screen, or select applicants.
At Chubb we are committed to providing equal employment opportunities to all employees and applicants. It is our policy to provide equal employment opportunities to employees and applicants based on job-related qualifications and ability to perform a job. If you require an accommodation during the hiring process or upon hire, please inform Human Resources. If a selected applicant requests accommodation during the recruitment process, Chubb will consult with the applicant in order to provide suitable accommodation that takes into account the applicant’s accessibility needs.
