Jobs in Canada

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Added 5 days ago
B
Data Science Developer
Bevertec
Toronto, ON · Greater Toronto Area, Canada
- Contract
We are looking for a Senior Data Science Developer to join Metrolinx’s Enterprise AI & Data Centre of Excellence and build enterprise-grade AI solutions, Generative AI applications, and…
Added 5 days ago
TC
Python Developer
TSR Consulting
Mississauga, ON
- Contract
TSR Consulting is currently seeking a highly motivated Python Engineer for an opportunity in Mississauga, ON Hybrid
Added 6 days ago
OS
Backend Python Developer - GenAI Focus
Open Systems Technologies
Montreal, QC
- Contract
We are seeking an accomplished Backend Python Developer with expertise in GenAI technologies to join the team and drive key initiatives forward.
Added 6 days ago
OO
Director
Office of the Superintendent of Financial Institutions Canada
Toronto, ON
- Full-time
Significant (2*) experience developing or deploying statistical models or analytics solutions using programming languages, analytics and cloud platforms such as Python, Power BI, and Azure
Added 6 days ago
C
Specialist Software Development-CA
CN
Quebec, QC
- Full-time
Maintain comprehensive technical documentations and promote basic AI tools (e.g. GenAI code assistance, automated unit testing tools) to streamline personal coding workflows
Added 6 days ago
IC
Python Developer
IT Connex
Toronto, ON · Greater Toronto Area, Canada
- Contract
Design, develop, test, and support Python-based applications and services.
Added 6 days ago
D
Python Developer
Dexian
Mississauga, ON
- Other
…building and supporting modern software solutions leveraging Python, microservices, APIs, event-driven architectures, and emerging AI…
Added 6 days ago
QW
GenAI Engineer
Quantum World Technologies Inc.
Toronto, ON
- Contract
Looking explicitly for GenAI development experience. Data Science/ML experience will not counted. ******
Added 6 days ago
A
Développeur(-euse) Full Stack (Python)
Akkodis
Montreal, QC
- Contract
Mode de travail : Hybride – Présence au bureau 3 jours par semaine (incluant l'intégration initiale sur site)
Added 6 days ago
AI
Quality Engineer (QE) / SDET – AI Chatbot Validation
Apptoza Inc.
Toronto, ON
- Contract
Hands-on experience testing AI, LLM, GenAI, chatbots, or virtual assistants.
Added 6 days ago
R&
Staff AI Developer - Toronto
Robots & Pencils
Toronto, ON
- Full-time
Build backend services in Python and Node.js, including serverless architectures (AWS Lambda, API Gateway) that support agentic workflows
Added 6 days ago
TR
Principal Engineer
Thomson Reuters
Toronto, ON
- Full-time
Expertise with modern UI frameworks (React, Angular, Vue, or similar), TypeScript, Node.js, and Python.
Added 6 days ago
CT
Generative AI Engineer
Celebal Technologies
Canada
- Full-time
…The ideal candidate should have strong programming skills in Python, a solid understanding of ML/AI fundamentals, and hands-on experience building GenAI applications using LLMs,…
Added 6 days ago
GS
Python Developer
Gala Solutions
Montreal, QC
- Contract
Job Title: Backend Python Developer - GenAI Focus
Added 7 days ago
Staff AI Developer - Vancouver
Robots and Pencils
Vancouver, BC
Build backend services in Python and Node.js, including serverless architectures (AWS Lambda, API Gateway) that support agentic workflows
Added 7 days ago
Staff Engineer / AI Builder - Toronto
Robots and Pencils
Toronto, ON
Build backend services in Python and Node.js, including serverless architectures (AWS Lambda, API Gateway) that support agentic workflows
Added 7 days ago
BA
GenAI Specialists/Practitioners (AWS Bedrock)
Botsford Associates
Toronto, ON
- $50 to $100 CAD / hour
- Contract
Job Title: GenAI Specialist / Practitioner (AWS Bedrock)
Added 7 days ago
L
Senior Software Engineer
lululemon
BC · British Columbia, Canada
- Full-time
Demonstrated experience designing, building, and operating production GenAI and agentic systems. Familiarity with prompt and context design, tool or API integrations, guardrails,…
Added 7 days ago
IG
Principal Platform Engineer
Insight Global
Vancouver, BC
- Full-time
Build GenAI platform capabilities including RAG, grounding, prompt management, guardrails, evaluations, agents, and MCP integration
Added 7 days ago
I
Technology Analyst - GenAI
Infosys
Mississauga, ON
- Full-time
…AI-powered applications, and experience delivering production-grade GenAI solutions in a fast-paced, innovation-driven…
Added 7 days ago
I
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
- Full-time
Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch).
Added 7 days ago
Technology Analyst
Infosys
ON
…AI-powered applications, and experience delivering production-grade GenAI solutions in a fast-paced, innovation-driven…
Added 7 days ago
Consultant en Déploiement - Apprentissage automatique | Delivery Consultant - Machine Learning, ProServe Shared Delivery Team - Data & AI
Amazon
Calgary, AB · Vancouver, BC · Toronto, ON · Montreal, QC
…value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts of disparate data to develop AI/ML models? Eager to learn to apply AI/ML to a diverse…
Added 7 days ago
VL
RPA Developer - UiPath
VStream Labs Inc.
Toronto, ON
- $45 to $50 CAD / hour
- Contract
Integrate Agentic AI and GenAI capabilities, including intelligent agents, copilots, document understanding, and workflow orchestration.
Added 7 days ago
A
AI Platform Engineer – DevOps Experience : Halifax, Nova Scotia : FTE
AceStack
Halifax, NS
- Full-time
…expertise to design, develop, and maintain enterprise-grade AI/GenAI platforms while enhancing existing DevOps…

Robots and Pencils

Staff AI Developer - Vancouver

Vancouver, BC, Canada

The salary range for this role is $ $165,604 - $228,491 USD.

Apply on job-boards.greenhouse.io About employer

Applications open in a new tab.

Job details

Pay: The salary range for this role is $ $165,604 - $228,491 USD.
Experience: 6+ years of professional software engineering experience, including meaningful time shipping GenAI/LLM-powered systems in production - not just prototypes
Posting language: English
Posted: Nov 3, 2026

Original job description

We’re looking for a Staff AI Builder to lead the design and delivery of AI/ML systems. This role is ideal for an experienced engineer who thrives on architectural decisions, can confidently own systems end-to-end, and contributes to technical leadership across the team.

In this role, you will work as a key technical leader on a cross-functional team, defining AI architecture, leading model development and optimization, and solving challenging integration problems. You’ll be joining real, in-flight work where reliability, security, and scalability are critical. You’ll establish engineering standards, raise the bar on how we build AI systems, and contribute to the technical decisions that shape how our AI work scales over time.

Why This Role Matters

At Robots & Pencils, we design AI systems for a human world. Our name says it all. Robots and pencils means engineering paired with creativity, because every agent we ship has to work for real people in real workflows. That balance is baked into how we operate.

Every role here contributes directly to that mission. Here, you shape how AI systems integrate into enterprise operations, how teams move at real velocity, and how products create measurable impact for clients and the people they serve. We ship production-ready AI in 30 to 45 days. That pace demands people who take ownership, lead with craft, and care deeply about what they put their name on.

What You'll Do

Agentic & GenAI Engineering

Design and build agentic workflows - reasoning loops, tool/function calling, and orchestration across single- and multi-agent architectures - with clear judgment on which pattern fits the problem and which doesn't
Build and maintain RAG pipelines: chunking strategy, embeddings, vector search (OpenSearch), re-ranking, and staleness/refresh handling for dynamic knowledge sources
Integrate with AWS Bedrock and Agent Core, including MCP-based tool design - writing tool descriptions precise enough that an orchestrator routes correctly every time
Write and iterate on production system prompts - structured role framing, output constraints, and few-shot design - not just prompt tinkering
Build eval and observability into every agent you ship: golden datasets, RAGAS-style metrics, LLM-as-judge (as both a runtime guardrail and an offline eval), and tracing via LangFuse/LangSmith or equivalent
Design for LLM failure, not just LLM success: retries with backoff and jitter, circuit breakers, fallback models, and a clear user-facing story when something upstream degrades

Full-Stack & Platform Engineering

Build backend services in Python and Node.js, including serverless architectures (AWS Lambda, API Gateway) that support agentic workflows
Design DynamoDB single-table schemas - composite keys, transactional writes - for conversation state, agent memory, and session history
Support event-driven orchestration (Step Functions, SQS, EventBridge) for asynchronous agent operations, with an eye toward reliability and clean error handling
Contribute to frontend integration points so agentic features land cleanly for end users, and write clean, well-tested code across the stack
Support deployment, monitoring, and production troubleshooting in cloud-native environments (AWS, Docker), with guidance from senior engineers where needed

Collaboration & Technical Leadership

Bring informed technical judgment to architecture discussions - naming the real trade-offs of a pattern (e.g., gateway centralization vs. latency, single- vs multi-agent design) rather than defaulting to what's familiar
Partner with product, design, and delivery leads across global teams to scope and ship features end-to-end
Mentor other engineers on the pod and help raise the bar on agentic engineering practices, including AI-assisted development tools like Claude Code
Own assigned features and releases end-to-end - including the unglamorous parts: debugging, hardening, and keeping production systems trustworthy

What You'll Bring

6+ years of professional software engineering experience, including meaningful time shipping GenAI/LLM-powered systems in production - not just prototypes
Real, hands-on depth in agentic AI: reasoning loops, tool/function calling, multi-agent orchestration, and a considered point of view on when single-agent design beats multi-agent, and why
Practical RAG expertise: chunking strategies, embeddings, vector databases (OpenSearch or similar), cosine similarity search, and re-ranking - you can explain the mechanism, not just the terminology
Experience building evaluation and observability for LLM systems: golden datasets, LLM-as-judge, RAGAS or comparable metrics, and tracing tools like LangFuse/LangSmith
Strong prompt engineering skills - you can write a production system prompt with real structure and constraints on request, not just describe the concept
Hands-on experience with the AWS GenAI stack: Bedrock, Agent Core, Lambda, DynamoDB (single-table design), S3, SQS, EventBridge, Step Functions
Strong Python and Node.js skills, with experience building full-stack applications and RESTful APIs
Solid understanding of production reliability patterns for LLM-backed systems: retries/backoff, circuit breakers, fallback models - as a bundle, not a single tactic
Experience with containerization (Docker) and cloud-native deployment
Comfort owning ambiguous, integration-heavy problems, and the ability to go a level deeper when someone pushes on your answer instead of staying abstract
Legally authorized to work in Canada and eligible to secure immediate U.S. non-immigrant work authorization (e.g., TN status under USMCA) for mandatory weekly on-site client delivery (3 days/week) in the United States.

Helpful Extras and Unique Skills

Direct experience with Amazon Bedrock Agent Core - agent registration, MCP tool wiring, memory/session management, gateway provisioning
Experience in a regulated or high-stakes domain (education, healthcare, financial services) where evaluation rigor and reliability carry real consequences
Familiarity with workflow orchestration tools such as Step Functions, Sequencer, or similar state-machine-based systems
A point of view on LLM observability tooling, gained from actually running it in production rather than reading about it

The below range reflects the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. The salary range for this role is $ $165,604 - $228,491 USD.  We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.

An offer of employment may be conditional upon successful completion of a background check in accordance with local legislation and our candidate privacy notice. Your current employer will not be contacted without your permission.  We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.

Apply on job-boards.greenhouse.io About employer

More about this job

Responsibilities

Design, build, and operate production AI/ML systems, including agentic workflows, RAG pipelines, evaluation and observability, and reliable AWS-based services. Lead architecture and technical practices, collaborate across product and engineering teams, mentor engineers, and own features and releases through production support.

Requirements

Requires 6+ years of software engineering experience, including production GenAI/LLM systems, with hands-on expertise in agentic AI, RAG, evaluation, observability, and prompt engineering. Candidates need strong Python and Node.js skills, experience with AWS services and production reliability patterns, and authorization to work in Canada plus eligibility for immediate U.S. non-immigrant work authorization.

Skills

Agentic AI
Generative AI
Python
Node.js
AWS Bedrock
Amazon Bedrock Agent Core
Retrieval-Augmented Generation
OpenSearch
Prompt Engineering
LLM Evaluation
LLM Observability
DynamoDB
AWS Lambda
Step Functions
Docker
System Architecture

Benefits

Paid Time Off
Medical Insurance
Dental Insurance
Vision Insurance
401(k)

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
Generative AI
Large Language Models
Reasoning Loops
Tool Calling
Multi-Agent Orchestration
Retrieval-Augmented Generation
Chunking
Embeddings
Vector Search
OpenSearch
Re-Ranking
AWS Bedrock
Amazon Bedrock Agent Core
Model Context Protocol
Prompt Engineering
LLM Evaluation
RAGAS
LLM-as-Judge
LangFuse
LangSmith
Python
Node.js
AWS Lambda
API Gateway
DynamoDB
Step Functions
SQS
EventBridge
Docker

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Work requirements

Jobs in Canada