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Added 11 mins ago
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Senior Machine Learning Engineer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
We are looking for an exceptional Machine Learning Engineer to design, build, operationalize, and scale production-grade AI/ML and Agentic AI systems at Autodesk For Go-to-market…
Added 1 hour ago
BS
Technical Lead
Brainhunter Systems Ltd
Toronto, ON
- Contract
8+ years building and operating complex enterprise digital products, including experience as a Technical Lead, Staff Engineer or senior full-stack developer.
Added 1 hour ago
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ML Engineer - Reconstruction
Peripheral
Toronto, ON
- Full-time
We're seeking a Reconstruction Engineer to join Peripheral's Reconstruction team, helping push the state of the art in 3D reconstruction, neural rendering, and spatial models (monocular…
Added 1 hour ago
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Software Engineer II
Emburse
Toronto, ON
- Full-time
…engaging and interconnected set of system solutions. As an engineer, you will enhance the experiences of your customers, solve interesting challenges, and design new solutions. Emburse,…
Added 2 hours ago
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Software Engineer II
Emburse
Toronto, ON
- Full-time
…engaging and interconnected set of system solutions. As an engineer, you will enhance the experiences of your customers, solve interesting challenges, and design new solutions. Emburse,…
Added 2 hours ago
EC
Software Engineer II
Emburse Chrome River
Toronto, ON
- Full-time
…engaging and interconnected set of system solutions. As an engineer, you will enhance the experiences of your customers, solve interesting challenges, and design new solutions. Emburse,…
Added 2 hours 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 2 hours ago
Applied AI Engineer
ContactMonkey
Toronto, ON
This is not "call an LLM and hope it works." It's careful system design, honest measurement, and shipping production systems that people rely on every working day.
Added 2 hours ago
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Senior Software Engineer - AI/ML
Hach
London, ON · Vancouver, BC · CAN - Vancouver - Aquatic Informatics ULC
- $120,000 to $145,000 CAD / year
- Full-time
…users, hosted software services, and enterprise-wide national systems. We serve over 1,000 municipal, federal, state/provincial, hydropower, mining, academic, and consulting organizations…
Added 3 hours ago
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QA Automation Engineer (Askuity division)
The Home Depot
Toronto, ON
- Full-time
We are looking for a dynamic QA Automation Engineer, eager to deliver high quality SaaS based products. As a member of the Product Development team at Askuity, you will help design and…
Added 7 hours ago
EG
Développeur(-euse) de logiciels sénior(e) (contenu) / Senior Software Development Engineer
Expedia Group
Montreal, QC · Canada - Quebec - Montreal
- Full-time
Added 10 hours ago
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Manager, Software Engineering
AltaML
Toronto, ON
- Full-time
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't.
Added 14 hours ago
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Embedded Software Manager
Actalent
Burnaby, BC
- $131,115 to $187,310 CAD / year
- Full-time
8+ years of software development experience, including 4+ years in embedded systems (RTOS, bare metal, or embedded Linux).
Added 15 hours ago
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Sr Staff AI Software Engineer
Qualcomm
Markham, ON
- Full-time
…smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient…
Added 16 hours ago
Dev. Machine Learning Engineering II
Bell
Toronto, ON
Cloud Associate Cloud Engineer certification (e.g., AWS Certified Cloud Practitioner, Azure Fundamentals, Google Cloud Certified Professional Cloud Architect)
Added 16 hours ago
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Dev. Machine Learning Engineering II
Bell
Toronto, ON
- Full-time
Cloud Associate Cloud Engineer certification (e.g., AWS Certified Cloud Practitioner, Azure Fundamentals, Google Cloud Certified Professional Cloud Architect)
Added 17 hours ago
AI Engineer Intern (Masters)
Electronic Arts
Vancouver, BC
As a Software Engineer with expertise in AI/ML systems and platform development, you will help create a scalable AI Platform.
Added 17 hours ago
RB
Senior AI/ML Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Knowledge of payment processing systems and financial services.
Added 18 hours ago
ES
Platform Engineer - AI/ML Infrastructure
Epsilon Solutions Ltd.
Toronto, ON
- Full-time
Were seeking a skilled Platform Engineer to deploy and manage our AI/ML infrastructure, e.g LlamaIndex Cloud and KDB.AI applications on Kubernetes Platform.
Added 19 hours ago
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Technical Architect
Mphasis
Toronto, ON
- Contract
RAG & Knowledge Systems: Retrieval-Augmented Generation (RAG), GraphRAG, Knowledge Graphs, Semantic Search, Embeddings and Vector Search, Document Intelligence and Enterprise Search
Added 19 hours ago
Senior AI Engineer
Charger Logistics Inc
Brampton, ON
We are looking for a highly motivated Sr. AI Engineer to join our team based out of our Brampton office and contribute to the development of AI-driven solutions for various departments.…
Added 19 hours ago
P&
Architecte de données / Data Architect
Pratt & Whitney
Longueuil, QC
- Full-time
Added 19 hours ago
CL
Senior AI Engineer
Charger Logistics Inc.
Brampton, ON
- Full-time
We are looking for a highly motivated Sr. AI Engineer to join our team based out of our Brampton office and contribute to the development of AI-driven solutions for various departments.…
Added 21 hours ago
AI
Kubernetes Engineer
Aptino, Inc.
Canada
- Contract
We are looking for an experienced Kubernetes (K8S) / HPC Engineer to design, deploy, and manage scalable compute platforms supporting AI/ML, simulation, and data-intensive workloads.
Added 22 hours ago
T
Applied AI/ML Scientist
TEEMA
Vancouver, BC
- $100,000 to $120,000 CAD / year
- Full-time
Applied AI/ML Scientist / Engineer, Health Agents

Brainhunter Systems Ltd

Technical Lead

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 6, 2026
Experience: 8+ years building and operating complex enterprise digital products, including experience as a Technical Lead, Staff Engineer or senior full-stack developer.
Posting language: English
Posted: Oct 7, 2026

Original job description

Work Style: Hybrid (3 days in office)

Location city: Toronto or London

Number of Openings: 1

Anticipated Start Date: 4 weeks from the official offer day

End Date: 12 months duration

Contractor to work extra time or on-call: No

Role Title: Technical Lead

Reliability Clearance required: No

Any specific tools/skillset:

8+ years building and operating complex enterprise digital products, including experience as a Technical Lead, Staff Engineer or senior full-stack developer.
Demonstrated full-stack depth: Strong, recent hands-on delivery in both modern front-end engineering and backend/service development; able to move confidently across layers rather than specializing in only one.
Deep experience with TypeScript, React and Next.js, including component architecture, state management, server-side rendering, accessibility, responsive design and front-end performance.
Strong backend engineering experience with Java and Spring Boot, including REST APIs, microservices, asynchronous processing, data access, automated testing and production troubleshooting.
Experience designing and integrating REST, GraphQL and event-driven services using clear contracts, authentication, resiliency patterns and graceful failure handling.
Hands-on experience establishing cloud infrastructure, containers, infrastructure as code using Terraform, source-control workflows and CI/CD pipelines. Azure experience is preferred; Kubernetes and AWS experience are valuable.
Strong quality-engineering capability, including test driven development, defining test strategy and automation across unit, component, contract, API, integration, end-to-end, accessibility, performance and security testing.
Practical use of AI-assisted engineering tools - such as Claude Code, GitHub Copilot or comparable tools - to accelerate software delivery, testing, debugging and documentation within approved security and code-review controls.
Hands-on experience delivering AI/ML-enabled product features using modern model platforms and frameworks, including retrieval, prompt engineering, structured outputs, tool use, evaluation, guardrails and production monitoring.
Experience building reusable platform capabilities or modernizing fragmented applications while improving delivery speed, maintainability, reliability and customer outcomes.

Additional enterprise experience

Experience with API gateways, Kafka or comparable event platforms, headless content, personalization, feature flags, experimentation, analytics, caching and relational or document databases.
Ability to integrate CIAM (Okta Auth0), entitlement, consent, privacy, security and audit controls into end-to-end solutions in a regulated environment.
Strong observability practice using logs, metrics, distributed tracing and alerting; familiarity with OpenTelemetry, Azure Monitor/Application Insights or comparable tooling.
Working knowledge of secure software supply chains, dependency management, secrets management and controls for AI-assisted development.
Experience in financial services, insurance or another complex regulated environment is preferred.

Role profile description:

Canada Life is building an Enterprise Digital Strategy and Delivery team to create simpler, connected and intelligent experiences for customers and the people who support them. We are looking for a hands-on Technical Lead and Senior Full-Stack Engineer who can build across the front end, back end, experience engine and AI/ML layers - and establish the engineering foundations required to deliver them reliably.

In this role, you will remain hands on across the full technology stack - from React/Next.js user experiences and experience orchestration to Java/Spring Boot services, APIs, Kafka events and data integration using REST API via Apigee. You will also be able to establish cloud infrastructure, development

environments and CI/CD pipelines, working with enterprise platform teams where shared services or controls are involved.

Success means shipping secure, accessible and resilient journeys end to end; increasing reuse and delivery speed; embedding quality automation throughout the engineering lifecycle; and using approved AI engineering tools to improve productivity without compromising accountability, security or code quality.

What you will do

Design, code, test and deploy production capabilities across React/Next.js front ends, experience orchestration, Java/Spring Boot services, APIs, events and supporting data stores. Experience with using UML.
Create reusable components and orchestration services that assemble content, customer context, data, decisions and actions into consistent, personalized journeys.
Configure cloud infrastructure, development environments, infrastructure as code and CI/CD pipelines; partner with enterprise platform teams while remaining hands on in implementation and troubleshooting.
Implement automated unit, component, API, integration, end-to-end, accessibility, performance and security testing, with quality gates embedded in delivery pipelines.
Apply approved AI coding tools such as Claude Code to understand codebases, generate and refactor code, create tests, diagnose defects and automate routine development work - while maintaining human review, secure-development controls and accountability for every change.
Develop AI-assisted and agentic product features, including retrieval, prompt engineering, structured outputs, tool integration using MCP, agent to agent interaction using MCP, RAG, evaluation, guardrails, human oversight and production monitoring. Experience using AI agent frameworks like LangGraph, CrewAI, MS Agent Framework.
Establish shared UI patterns, design-system components, service templates, experience APIs and integration patterns that reduce duplication across role-based experiences.
Define and enforce coding, API, accessibility, testing, security, documentation, observability and operational-readiness standards through working examples, reviews and automated controls. Work effectively with Solution Architects to deliver desired business and technology outcomes.
Instrument services and journeys, diagnose issues across the stack and work with platform teams to resolve root causes and improve reliability.
Lead design reviews and technical spikes, recommend practical build, buy or reuse decisions, and coach developers through pairing and high-quality code reviews.

How you work

You stay close to the code and use working software to resolve ambiguity.
You put the end-to-end customer outcome ahead of a single system, channel or line of business.
You balance speed with security, reliability, accessibility, maintainability and cost.
You communicate decisions and trade-offs clearly to engineers, product partners, architects and senior stakeholders.
You challenge duplication and unnecessary complexity, while helping teams move from discussion to delivery.

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More about this job

Responsibilities

Build and deploy secure, accessible, resilient full-stack capabilities across React/Next.js, Java/Spring Boot, APIs, events, data stores, and AI-enabled product features. Establish reusable engineering patterns, cloud infrastructure, CI/CD and quality controls, while leading technical decisions, troubleshooting, and developer coaching.

Requirements

Requires 8+ years building and operating complex enterprise digital products, with recent hands-on expertise across modern front-end and backend development. Candidates should have strong experience with TypeScript, React/Next.js, Java/Spring Boot, cloud infrastructure, automated testing, AI/ML-enabled features, and secure delivery in complex environments.

Skills

TypeScript
React
Next.js
Java
Spring Boot
REST APIs
GraphQL
Kafka
Azure
Terraform
Kubernetes
CI/CD
Automated Testing
AI/ML Engineering
RAG
Technical Leadership

Visa sponsorship

Not detected in the job text

Keywords

TypeScript
React
Next.js
Java
Spring Boot
REST APIs
GraphQL
Kafka
Apigee
Azure
AWS
Kubernetes
Terraform
CI/CD
Infrastructure As Code
Claude Code
GitHub Copilot
AI/ML
RAG
MCP
LangGraph
CrewAI
MS Agent Framework
OpenTelemetry
Azure Monitor
Application Insights
Test-Driven Development
Accessibility Testing
CIAM
UML

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