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EI
Roadway Lead - Major Projects
Egis in Canada
Toronto, ON
- $150,000 to $190,000 CAD / year
- Full-time
Added just now
EI
Intermediate Traffic Engineer - Construction Staging
Egis in Canada
Toronto, ON
- $95,000 to $125,000 CAD / year
- Full-time
Intermediate Traffic Engineer - Construction Staging is a senior-level traffic engineering role based in Toronto, Ontario, Canada, supporting the planning, design, and delivery of…
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EI
Civil Roadway - Senior Engineer - Major Projects
Egis in Canada
Toronto, ON
- $125,000 to $175,000 CAD / year
- Full-time
Civil Roadway - Senior Engineer - Major Projects is a senior-level transportation engineering role based in Toronto, Ontario, Canada, supporting the delivery of roadway and highway…
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AI Systems Engineer
Altis
Peterborough, ON
- $40 to $50 CAD / hour
- Contract
…contract with potential to convert to permanent as a Systems Engineer role combines systems engineering discipline with hands-on software development, digitalization, automation, and…
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EI
Municipal Engineer - Major Projects
Egis in Canada
Toronto, ON
- $95,000 to $130,000 CAD / year
- Full-time
Intermediate-to-Senior Municipal Engineer - Major Projects supports the delivery of large-scale transportation and municipal infrastructure programs in Toronto, Ontario, Canada. Working…
Added 1 min ago
PG
Quality Engineer (QE) / SDET – AI Chatbot Validation
Pacer Group
Toronto, ON
- $40 to $45 CAD / hour
- Contract
Job Title: Quality Engineer (QE) / SDET – AI Chatbot Validation
Added 1 min ago
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Fullstack .NET Engineer | igaming | Base + Benefits
Pentasia
Toronto, ON
- Full-time
Added 1 min ago
PG
Quality Engineer
Pacer Group
Toronto, ON
- $40 to $45 CAD / hour
- Contract
Job Title: Quality Engineer (QE) / SDET – AI Chatbot Validation
Added 1 min ago
EI
Senior Traffic Engineer-(Construction Staging)
Egis in Canada
Toronto, ON
- $140,000 to $180,000 CAD / year
- Full-time
The ideal candidate is a licensed Professional Engineer with 15+ years of experience delivering traffic and highway engineering projects for municipalities and transportation agencies,…
Added 1 min ago
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AI Security Research Engineer
Yochana
Toronto, ON
- $40 to $45 CAD / hour
- Contract
Added 1 min ago
CO
Senior Manager, Software Engineering
Capital One
Toronto, ON
- Full-time
At least 10 years of experience as a hands-on software engineer
Added 1 min ago
OT Systems/Applications Design
Celestica International LP
Newmarket, ON
The Lead Engineer, Systems/Applications is the Site Operational Technology (OT) lead that designs, integrates, and manages complex systems over their life cycles. They are engineering leads…
Added 1 min ago
UH
Software Developer
University Health Network
Toronto, ON
- Full-time
We seek a talented Data/Software Engineer passionate about advancing drug discovery through cutting-edge technology and open science collaboration to join our team at the Structural…
Added 1 min ago
JI
Engineer, Facilities
J.D. Irving, Limited
Halifax, NS
- Full-time
We are seeking a Engineer, Facilities to manage the planning, design, construction, rehabilitation, and lifecycle management of facilities and infrastructure assets, including buildings,…
Added 15 mins ago
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Software Engineer, Frontend and Mobile
Bree
Toronto, ON
- Full-time
We are looking for a Software Engineer with a strong mobile and frontend focus to help shape the primary way customers experience Bree.
Added 30 mins ago
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Junior Software Engineer
AltaMatic (formerly AltaPro AI)
AB · Greater Edmonton Metropolitan Area
- Full-time
We’re looking for a Junior Software Engineer Intern to join our team full-time and on-site at our downtown Edmonton office. You’ll help build, test and maintain custom web applications and…
Added 30 mins ago
AI
Principal Consultant – AWS Data Platforms & Agentic AI
Apptoza Inc.
Toronto, ON
- Contract
You are neither a strategy-only Enterprise Architect nor solely a delivery-focused Data Engineer.
Added 30 mins ago
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Business Intelligence Specialist
Bevertec
Toronto, ON
- Contract
Azure Certifications (Azure Administrator, Azure Data Engineer, or Azure Solutions Architect)
Added 30 mins ago
SI
AI Engineer
Smart IT Frame LLC
Mississauga, ON
- Full-time
Added 1 hour ago
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Senior Analyst/Engineer - PSA and Risk Assessment
Kinectrics
Toronto, ON
- Full-time
Position: Senior Analyst/Engineer - PSA and Risk Assessment
Added 1 hour ago
AI
Quality Engineer -AI Chatbot Validation
Apptoza Inc.
Brampton, ON
- Contract
Added 1 hour ago
AI
Quality Engineer (QE) / SDET – AI Chatbot Validation
Apptoza Inc.
Toronto, ON
- Contract
Role - Quality Engineer (QE) / SDET – AI Chatbot Validation
Added 1 hour ago
ZC
Java Full Stack Engineer
Ztek Consulting
Montreal, QC
- $150,000 to $180,000 CAD / year
- Full-time
Added 1 hour ago
Staff AI Developer - Vancouver
Robots and Pencils
Vancouver, BC
…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…
Added 1 hour ago
O
Solution Consultant Director, Partner channel
Omilia
Canada
- Full-time
Recruit and onboard Solution Consultant and Demo Engineer talent in alignment with regional headcount plans, ensuring new hires reach full productivity efficiently

Robots and Pencils

Staff AI Developer - Vancouver

Vancouver, BC, Canada

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

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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.

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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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