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Added 18 hours ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL
Added 18 hours ago
MC
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
- Full-time
This is an excellent opportunity for a junior-to-mid-level Data Analyst with strong Power BI, SQL and Microsoft data technologies experience who enjoys turning data into meaningful…
Added 1 day ago
E
Principal Software Engineer
EngRadar
Kitamaat 2, BC
- Full-time
This is a senior, hands-on role for an engineer who wants influence beyond a single product team. You’ll work in a highly connected environment, on a small team that supports a large…
Added 2 days ago
AI
Senior Quality Assurance Engineer
AI Interviews
Toronto, ON · Greater Toronto Area, Canada
- Contract
We are looking for a Senior QA Engineer with strong experience in automation testing of mobile and web applications. The ideal candidate should have hands-on experience with Appium, mobile…
Added 2 days ago
AI
Senior QA
AI Interviews
Toronto, ON · Greater Toronto Area, Canada
- Contract
We are looking for a Senior QA Engineer with strong experience in automation testing of mobile and web applications. The ideal candidate should have hands-on experience with Appium, mobile…
Added 2 days ago
A
Senior Test Engineer
Actalent
Ottawa, ON
- $50 to $60 CAD / hour
- Contract
The Test Engineer supports new product introduction and manufacturing test for fiber optic lab test equipment within an Ottawa-based fiber optic lab and production test business unit. This…
Added 2 days ago
AE
Senior Engineer/Analyst
Alberta Electric System Operator (AESO)
Calgary, AB
- Full-time
We are seeking a qualified Senior Engineer or Senior Analyst to support and expand data-driven analytics activities within our Grid Analytics (GA) team. GA is a cross-functional team that…
Added 2 days ago
RB
Lead Full Stack Developer
Royal Bank of Canada
Toronto, ON
- Full-time
At its core, this role requires excellent problem-solving skills and C#/.Net, Java, Python and full stack coding capability. This role will need to effectively communicate, collaborate, and…
Added 2 days ago
Principal Software Engineer
Conga
Canada
This is a senior, hands-on role for an engineer who wants influence beyond a single product team. You’ll work in a highly connected environment, on a small team that supports a large…
Added 2 days ago
K
Data Engineer
Keasis
Montreal, QC
- Contract
We are seeking a skilled Senior Data Engineer with 5 to 7 years of experience specializing in Python and PySpark. In this role, you will design, build, and optimize robust data pipelines…
Added 2 days ago
A
Senior Engineer or Analyst, Grid Analytics
AESO
Calgary, AB · KPMG Tower
- Full-time
We are seeking a qualified Senior Engineer or Senior Analyst to support and expand data-driven analytics activities within our Grid Analytics (GA) team. GA is a cross-functional team that…
Added 2 days ago
P-
Senior Cloud Engineer
Pandell - An ESG Company
Remote, Canada
- Full-time
- Remote
We’re looking for a Senior Cloud Engineer to design, maintain, and improve the cloud and on-premises infrastructure that supports our applications and services.
Added 2 days ago
HA
Senior Software Engineer
H2 Analytics
Remote, Canada
- $120,000 to $170,000 CAD / year
- Full-time
- Remote
You are a well-rounded senior software engineer with at least 6 years of experience building complex web applications and backend services as a full-stack engineer, with a minimum of 2…
Added 2 days ago
SL
Senior Data Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
…consumers to extract meaningful insights from enterprise data. This Senior Business data engineer will play an indispensable role in assembling the necessary data products that fuel myriads…
Added 2 days ago
SL
Student, Software Engineer (Winter 2027)
Sun Life
Waterloo, ON · Sun Life Waterloo King
- Full-time
Under the guidance of a Senior Engineer, contribute to the development, testing and deployment of APIs
Added 2 days ago
Full Stack Software Developer
GHD Group Pty Ltd
Waterloo, ON
…Developer to join our Waterloo, Ontario office. You're a strong engineer with 5+ years of experience who enjoys solving real problems as much as writing good code. You'll build software…
Added 2 days ago
W
Senior/Lead Azure Data Engineer
Wipro
Toronto, ON
- Full-time
We are seeking a highly skilled Senior/Lead Azure Data Engineer to design, develop, and optimize large-scale cloud-based data solutions on Microsoft Azure. The ideal candidate will have…
Added 2 days ago
M
Senior Java Full Stack Developer
Miratech
Toronto, ON
- Full-time
We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…
Added 2 days ago
KG
Senior Data AI Engineer (GenAI & LLM)
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
Position: Senior Data AI Engineer (GenAI & LLM Data Platform)
Added 2 days ago
M
Senior Java Full Stack Developer
Miratech
Toronto, ON
- Full-time
We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…
Added 2 days ago
XI
Senior Intelligence Analytics Engineer
Xplore Inc.
Markham, ON
- Full-time
Senior Intelligence Analytics Engineer - Hands-on Technical Lead
Added 2 days ago
PR
Senior Robotics and Control Engineer
Promise Robotics
AB
- Full-time
We’re looking for a Senior Robotics and Control Engineer to join our team and contribute to developing cutting-edge solutions for our core robotic manufacturing technologies. This role is…
Added 3 days ago
AS
Full Stack Engineer
Axelon Services Corporation
Montreal, QC
- $65.52 USD / hour
- Other
Experience with Python, SQL or NoSQL databases, data integration, caching, and data-intensive applications.
Added 3 days ago
AI
Software Engineer with Core Java, Apache Spark & Python,
Apptoza Inc.
Montreal, QC
- Full-time
Role: Software Engineer with Core Java, Apache Spark, Python, SQL, and Linux experience
Added 3 days ago
C
Senior AI Engineer
Chubb
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are looking for an AI Engineer who has shipped ML and LLM systems, built quality and observability tooling around them in production, and is ready to go deeper on that problem at scale.…

Chubb

Senior AI Engineer

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Apr 21, 2027
Posting language: English
Posted: Oct 23, 2026

Original job description

Senior AI Engineer

About Chubb

Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.

About the Team

We are a fast-moving team delivering AI scalability and governance solutions across Chubb's product portfolio. Engineers work across multiple products, own everything they touch from start to finish, and are expected to rise to the challenges their work demands. We build AI-native, move with purpose, and value engineers who bring both hard work and sound judgment to complex problems.

About the Role

We are looking for an AI Engineer who has shipped ML and LLM systems, built quality and observability tooling around them in production, and is ready to go deeper on that problem at scale. In this hands-on role, you will take end-to-end ownership of individual services within a larger AI platform, covering the architecture, data layer, business logic, and API surface without splitting responsibility across specialisms. You will collaborate with peer engineers to define and hold the integration contracts between services as each piece lands. You will develop iteratively alongside a small team, with short feedback loops and a high bar for what ships.

What You Will Do

Application Development

Design and build production-grade LLM-powered services in Python and Go, integrating with cloud AI APIs such as Azure OpenAI or AWS Bedrock.
Take end-to-end ownership of individual services: data model, business logic, and API surface across all layers.
Build with LLMs as naturally as with any other system component, integrating them into full application stacks rather than treating them as black-box API calls.
Define and maintain integration contracts with peer engineers so independently owned services fit together cleanly as the system grows.
Build configuration-driven systems where runtime behaviour is governed by stored configuration rather than code changes.
Design and implement event-driven, state-based workflows: configurable lifecycle states, transition logic, and trigger mechanisms as production services.
Contribute to containerised deployments using Docker and Kubernetes, following established CI/CD pipelines.

Observability & Evaluation

Build and own evaluation harnesses: golden datasets, rubric-based scoring pipelines, regression suites, and experiment comparison frameworks.
Instrument LLM call paths end to end including distributed tracing, latency, token usage, and model behaviour at scale.
Design recording and data layers that connect live LLM calls to offline quality measurement, making the prompt version, model, and configuration active at decision time fully reproducible.
Surface observability signals in dashboards that are actionable for engineers and legible to non-technical stakeholders.

Software engineering and design patterns

Keep clean separation between business logic and infrastructure; keep abstractions honest and remove them when they stop paying for themselves.
Hold a high bar on type safety (Pydantic, typed TypeScript), comprehensive error handling, idempotency, and environment-agnostic configuration.
Build for operability from day one: structured logging (structlog), OpenTelemetry tracing, Azure Application Insights, meaningful SLOs, and the instrumentation needed to chase down problems like SSE streaming failures behind ingress or memory-growth patterns under sustained load.
Design multi-tenant systems with real access control: hierarchical entitlements and role models, per-user OAuth delegation (MSAL/PKCE), and rate and quota enforcement.
Write the design docs. Architecture decisions here get reviewed, argued about, and referenced later.

Prompt Integration & Guardrails

Implement and iterate on prompt templates using established patterns including few-shot, chain-of-thought, structured outputs, and function calling.
Work with versioned content and configuration as inputs alongside prompts: what a model receives at runtime is often composed from multiple managed sources, not a single template.
Manage context windows deliberately through chunking strategy, token optimisation, and retrieval design.

Collaboration

Plan and track your own work against clear outcomes in agile sprints.
Partner with product and senior engineers to translate requirements into working AI features.
Communicate clearly across technical and non-technical audiences.

What You Bring

Required

6-8 years building production software, with recent, substantial work on LLM-based systems that real users depend on.
Deep experience with Python / Go / Rust and similar languages, building safe, scalable, multi-tenant production systems.
Experience with test-driven development as a design discipline, writing tests first rather than retrofitting them.
Direct experience with at least one frontier provider SDK (Anthropic, OpenAI, Google) at the agent-loop level, not just chat completions.
Fluency in software design patterns and the taste to know which problem each one actually solves.
Cloud-native delivery; containers, Kubernetes (AKS preferred), CI/CD and production observability.
Solid command of LLM behaviour including prompt engineering, structured outputs, function calling, and context window management.
Familiarity with REST APIs and cloud AI services including Azure OpenAI, AWS Bedrock, or GCP Vertex AI.
Ability to work through ambiguity with stakeholders and turn a vague capability ask into a defensible technical design.

Good to have

Google ADK, Mastra (including declarative YAML workflows), Pydantic AI, Semantic Kernel, CrewAI, LlamaIndex, AutoGen - breadth here is useful, and having formed opinions about where each breaks down is more useful still.
Experience across Angular, React, Redis, Nx Monorepos, Cosmos DB / SQL Server.
Retrieval systems, vector indexing, and citation grade grounding.
Insurance or financial services domain exposure. (underwriting, claims, reinsurance)
Experience with LLM observability and tracing tools such as LangFuse or equivalent.

How you work

You design with standard software engineering patterns before you code.
You research before you commit, and you write down what you found.
You prefer production-ready over clever, and you can tell the difference.
You give and take direct technical feedback well.
You care that the thing works for the person using it, not only that it ran.

What we offer in the team

Ownership of platform foundations used across a global organization, not a proof of concept that dies in a demo.
A team that treats architecture as a first-class activity and gives engineers room to make calls.
Access to frontier models and tooling, and a mandate to figure out what they're actually good for.

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, build, and own production-grade LLM services and workflows, including their data models, business logic, APIs, integrations, and cloud-native deployments. Develop evaluation, observability, and reproducibility capabilities for AI systems, while collaborating with peers to define service contracts and deliver reliable, multi-tenant platform features.

Requirements

Requires 6–8 years of production software engineering experience, substantial recent experience with LLM systems used by real users, and strong skills in Python, Go, Rust, or similar languages. Candidates should have agent-loop experience with a frontier model provider SDK, cloud-native delivery and observability experience, and fluency in LLM prompting, structured outputs, function calling, and context management.

Skills

Python
Go
Rust
LLM Engineering
Prompt Engineering
Agent Loops
REST APIs
Kubernetes
Docker
CI/CD
LLM Evaluation
Observability
OpenTelemetry
Multi-Tenant Systems
Test-Driven Development
Cloud AI Services

Visa sponsorship

Not detected in the job text

Keywords

Python
Go
Rust
LLMs
Azure OpenAI
AWS Bedrock
Google Vertex AI
Anthropic SDK
OpenAI SDK
Kubernetes
Docker
CI/CD
Pydantic
TypeScript
OpenTelemetry
Azure Application Insights
LangFuse
REST APIs
Event-Driven Workflows
State-Based Workflows
Evaluation Harnesses
Golden Datasets
Distributed Tracing
Multi-Tenant Systems
OAuth
MSAL
PKCE
Prompt Engineering
Function Calling
Retrieval Systems

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