Jobs in Canada

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Added 20 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 20 days ago
V
Performance Test Engineer - Azure DevOps + OpenShift Container Platform
VSS
Toronto, ON
- Contract
One of our clients seeking a dynamic and detail-oriented Performance Test Engineer specialized in Azure DevOps and OpenShift Container Platform to join our innovative technology team. In…
Added 20 days ago
HA
Senior Software Engineer
H2 Analytics
Remote, Canada
- $120,000 to $170,000 CAD / year
- Full-time
- Remote
This is a hands-on builder role; you’ll spend most of your time writing code, designing systems, prototyping, and shipping. We develop primarily in TypeScript and Vue, and host in AWS and…
Added 20 days ago
SL
Python Developer
Staffingine LLC
Toronto, ON
- Full-time
Client is looking for a skilled Python Backend Engineer to build and scale high-performance backend systems. This role will focus on API development, platform engineering, and system…
Added 20 days ago
SL
Senior Data Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
3+ years experience and proficiency in Python, Pyspark and SQL
Added 20 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 20 days ago
M
Senior Java Full Stack Developer
Miratech
Toronto, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 20 days ago
KG
Senior Data AI Engineer (GenAI & LLM)
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
AI-Driven Data Pipeline Engineering: Design, build, and maintain scalable batch and real-time data ingestion pipelines using Python, SQL, and modern big data frameworks to feed ML models…
Added 20 days ago
M
Senior Java Full Stack Developer
Miratech
Toronto, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 20 days ago
TC
Data Engineer - Big Data / PySpark
Tata Consultancy Services
Toronto, ON
- $90,000 to $100,000 CAD / year
- Full-time
An experienced Data Engineer with strong expertise in Big Data technologies to design, develop, and support enterprise-scale data platforms. The ideal candidate should possess hands-on…
Added 20 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 20 days ago
SL
Python Developer
Staffingine LLC
Toronto, ON
- Full-time
Client is looking for a skilled Python Backend Engineer to build and scale high-performance backend systems. This role will focus on API development, platform engineering, and system…
Added 20 days ago
C
Senior AI Engineer
Chubb
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Design and build production-grade LLM-powered services in Python and Go, integrating with cloud AI APIs such as Azure OpenAI or AWS Bedrock.
Added 20 days ago
HR
AI Forward Deployed Engineer - CRM & Marketing
Hard Rock Digital
Remote, Canada
- Full-time
- Remote
We're hiring an AI Forward Deployed Engineer to build agentic and generative AI for CRM and Marketing. You'll ship production features, not prototypes, that help us acquire, engage, and…
Added 20 days ago
V
Lead Software Engineer
Virtusa
Halifax, NS
- Full-time
▪ Strong experience in Python Scripting and PySpark for data processing
Added 20 days ago
C
Engineer (Python/AWS + Azure/React) (Senior/NewGrad)
Caddie
Toronto, ON
- Full-time
One product, deployed in more than one place: our cloud on AWS, a customer's own Microsoft Azure environment, and, for the most restricted sites, a machine with no internet access. You own…
Added 20 days ago
Middle/Senior Forward Deployed Engineer (Python, AI)
Exadel
Canada
Advanced proficiency in Python, along with experience using TypeScript or JavaScript and SQL.
Added 20 days ago
M
Senior Java Full Stack Developer
Miratech
Toronto, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 20 days ago
M
Senior Java Full Stack Developer
Miratech
Toronto, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 20 days ago
M
Senior Java Full Stack Developer
Miratech
Toronto, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 20 days ago
M
Senior Java Full Stack Developer
Miratech
Toronto, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 20 days ago
IQ
Senior Data Engineer – Python & PySpark
Infinity Quest
Montreal, QC
- Contract
SQL, data warehousing, and cloud platforms (AWS/Azure/GCP)
Added 20 days ago
M
Senior Java Full Stack Developer
Miratech
Toronto, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 20 days ago
B
Senior Application Developer/Engineer
Bevertec
Toronto, ON
- Contract
AWS services: EC2, S3, RDS, EKS, IAM, and CloudWatch.
Added 20 days ago
UC
Data Engineer
UniSysTech Consulting
Toronto, ON · Greater Toronto Area, Canada
- Contract
We are looking for a Data Engineer to design, build, and automate scalable data pipelines. In this role, you will leverage strong Python and SQL expertise to extract, transform, and load…

Chubb

Senior AI Engineer

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

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

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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Jobs in Canada