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Added 5 months ago
JA
Business Data Analyst (Capital Markets)
Jay Analytix
Toronto, ON
- Contract
…Enterprise teams to facilitate the broader adoption of the Data Strategy across Capital Markets. Engage and partner with QTS application teams moving onto the Data Insights platform,…
Added 3 months ago
C
Sr. AI Engineer – Agentic Systems
Chubb
Toronto, ON
- Full-time
This work is aimed at direct implementation. People on this team move between agentic work, systems engineering, and applied science as priorities shift. Less a multi-agent system than one…
Added 2 months ago
AI and Data - Senior Consultant - AI/ML Engineer
EY
Toronto, ON · Montreal, QC
Bachelor's degree in Computer Science, Engineering, or a related field.
Added 3 months ago
P
Concepteur/Conceptrice Circuits Intégrés Photoniques (PIC) (Montréal)
Pasqal
Montreal, QC
- $80,000 to $100,000 CAD / year
- Full-time
…photonic integrated circuits (PICs) for telecommunications, data center, and quantum technology applications. Aeponyx is a Canadian subsidiary of…
Added 3 months ago
C
Java Full Stack Developer - React JS - Assistant Vice President
Citi
Mississauga, ON
- Full-time
· Experience with Python for scripting or data manipulation.
Added 3 months ago
L
Digital Architect
Lightmatter
Toronto, Ontario
- Full-time
Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine,…
Added 3 months ago
L
Frontend/UI Developer
Larus
Ottawa, Ontario
- Full-time
We are looking for a UI/Frontend Developer to join the Larus team. You will design and build the interfaces through which military planners, analysts, and decision-makers make sense of…
Added 3 months ago
L
Data Scientist
Larus
Ottawa, Ontario
- Full-time
Python data analysis and manipulation tools (e.g. pandas, numpy, dask);
Added 3 months ago
SG
Lead Penetration Test Engineer
S&P Global
Toronto, Ontario
- $135,000 to $180,000 CAD / year
- Full-time
…modern security threats. Our mission is to safeguard systems and data by developing innovative solutions to the industry’s most complex security challenges. We are passionate problem…
Added 3 months ago
IE
Principal Machine Learning Architect
Index Exchange
Toronto, Ontario
- Full-time
At the core of it all is our engineering-first culture. Our engineers tackle internet-scale problems across tight-knit, global teams. From moving petabytes of data and optimizing with AI to…
Added 3 months ago
Strategy & Operations Co-op - Winter 2027
Canada Rocket Company
Toronto, ON
…operations - the four functions that determine how fast the engineering team can…
Added 2 months ago
Java Developer
Capgemini
Montreal, QC
We are looking for a strong java developer to join RIM team and help deliver key initiatives. The applicant should be a solid Java programmer, with strong design and implementation…
Added 3 months ago
J
Senior Software Engineer, Applied AI (Netherlands)
Justworks
Toronto, ON
- €143,000 to €184,000 EUR / year
…focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in…
Added 2 months ago
Senior Software Engineer, Applied AI (Spain)
Justworks
Toronto, ON
…focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in…
Added 3 months ago
AM
SoC DFX Scan / ATPG Engineer
Advanced Micro Devices, Inc
Ottawa, ON
- Full-time
At AMD, our mission is to build great products that accelerate next-generation computing experiences - from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture…
Added 3 months ago
Q
Engineer
Qualcomm
Markham, ON
- Full-time
Familiarity with data analysis, AI-assisted engineering tools, or emerging AI technologies that enhance engineering productivity.
Added 3 months ago
G
Full Stack Software Engineer
Gumloop
Vancouver, BC
- Full-time
…the problem build and share agents, manage their access to data, choose your AI models and host it all in your own…
Added 3 months ago
Design Verification Engineer - technical lead, Annapurna Labs
Amazon
Toronto, ON
As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be developing hardware solution for AWS data center including AWS Inferentia,Trainium systems - custom designed…
Added 3 months ago
M
Applied AI, Forward Deployed Machine Learning Engineer
Mistral
Montreal, Quebec
- Full-time
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems - across high-stakes…
Added 3 months ago
B
Professional, Engineering - Advanced Aerodynamics
Bombardier
Dorval, Quebec
- Full-time
…role will also include the liaison of activities with these engineering…
Added 3 months ago
B
Software Engineer - GPU Networking & Distributed Systems
Baseten
Montreal, Quebec
- $165,000 to $330,000 CAD / year
- Full-time
…applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing…
Added 3 months ago
M
Applied AI, Technical Lead, Forward Deployed AI Engineer
Mistral
Montreal, Quebec
- Full-time
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems - across high-stakes…
Added 3 months ago
O
Senior Machine Learning Engineer in Medical Imaging
Oncoustics
Toronto, Ontario
- Full-time
…while effectively coordinating with signal processing, clinical data, and product teams. The ideal candidate will have strong expertise in processes, pipelines, operations, QA, and writing…
Added 3 months ago
O
Machine Learning Scientist (Graduate/Postdoc Level) - Contract
Oncoustics
Toronto, Ontario
- Contract
Adapt and optimize existing deep learning models for challenging data cases
Added 3 months ago
O
Senior DevOps Engineer, for AI-based Systems
Oncoustics
Toronto, Ontario
- Full-time
Familiarity with Python for machine learning and deep learning

Chubb

Sr. AI Engineer – Agentic Systems

199 Bay Street, Suite 2500, Toronto, ON, M5L 1E2, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Aug 5, 2026

Original job description

Senior AI Engineer, Agentic Systems

The Role

As a Senior AI Engineer on agentic systems you'll own the agent architectures that put our models in front of business users, and the work of making them reliable enough to stay there. Design, agentic behaviour, and performance optimization are all inherent to the role, because the needs converge: architecture shapes behaviour, and behaviour determines what needs optimizing.

What makes it interesting is what the agents have to do. Underwriting, claims, and the other core areas each involve multi-step workflows with real consequences, so agents need to reason over long context, follow complex instructions reliably, and integrate with systems of record that were never designed for them. Reliability is the hard part, and it is largely an evaluation problem rather than a prompting one.

This work is aimed at direct implementation. People on this team move between agentic work, systems engineering, and applied science as priorities shift. Less a multi-agent system than one generalist with broad tool access.

Major Responsibilities

Design and develop agentic systems end-to-end: agent loop design, orchestration, memory and state, tool integrations, and multi-agent workflows
Make agents reliable: diagnose why a loop stalls, why a tool gets misused, or why behaviour drifts between runs, and design the guardrails that hold up under real traffic
Measure agent quality continuously rather than at demonstration time: evaluation sets that reflect real workflows, regression checks that catch behavioural drift, and analysis that explains a failure rather than only flagging it
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

Qualifications

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.

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More about this job

Responsibilities

Design and develop end-to-end agentic systems, including loop design, orchestration, and tool integrations. Ensure agent reliability through continuous evaluation, performance tuning, and robust guardrails for production environments.

Requirements

Requires deep expertise in production Python and experience building agentic systems with frameworks like LangGraph or Claude Agent SDK. Candidates must demonstrate strong systems fundamentals, evaluation rigor, and the ability to manage tradeoffs in latency and token costs.

Skills

Python
Agentic Systems
LLM Orchestration
System Architecture
Performance Optimization
Evaluation Frameworks
LangGraph
Claude Agent SDK
Distributed Systems
Event-driven Systems
Kafka
Retrieval Systems
Memory Management
Full-stack Development
Software Engineering

Visa sponsorship

Not detected in the job text

Keywords

AI Engineer
Agentic Systems
Python
LangGraph
Claude Agent SDK
MCP
Deepagents
Kafka
LangSmith
Weights & Biases
Production Engineering
System Architecture
Evaluation
Guardrails
Latency Optimization
Token Budget
Multi-agent Workflows
Software Engineering
Applied Science
Insurance
Underwriting
Claims
Data Integration
Reproducibility
Version Control
Distributed Systems
Event-driven Architecture
Retrieval Systems
Full-stack Development
Claude Code

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