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Added 14 mins ago
CE
Technical Sales Specialist – Wear Solutions
Castolin Eutectic
Remote, Canada
- $90,000 to $130,000 CAD / year
- Full-time
- Remote
…different role, such as a maintenance manager, maintenance planner, reliability engineer, sales engineer or similar role and looking for your next challenge, here’s your…
Added 29 mins ago
C
Senior Azure Cloud Platform Engineer
Centraprise
Waterloo, ON
- Contract
This is not a traditional Infrastructure Engineer or Site Reliability Engineer (SRE) position.
Added 29 mins ago
SI
AI Engineer
Smart IT Frame LLC
Mississauga, ON
- Full-time
Experience with testing, production support, and system reliability.
Added 29 mins ago
C
Forward Deployed Engineer
Confidential
Toronto, ON · Greater Toronto Area, Canada
- $150,000 to $200,000 CAD / year
- Full-time
This isn't a traditional full-stack engineering role. You'll operate as a Forward Deployed Engineer, spending approximately 75% of your time building software and 25% embedded directly with…
Added 59 mins ago
SI
Sr. DevSecOps Cloud Specialist
Smart IT Frame LLC
Mississauga, ON
- Contract
…infrastructure automation, security integration, and production reliability, while operating within a structured ITIL-based support and change management…
Added 59 mins ago
K
Senior Analyst/Engineer - PSA and Risk Assessment
Kinectrics
Toronto, ON
- Full-time
Position: Senior Analyst/Engineer - PSA and Risk Assessment
Added 59 mins ago
AI
Quality Engineer (QE) / SDET – AI Chatbot Validation
Apptoza Inc.
Toronto, ON
- Contract
Role - Quality Engineer (QE) / SDET – AI Chatbot Validation
Added 59 mins ago
A
Process Engineer
Airswift
Calgary, AB · Greater Calgary Metropolitan Area
- Contract
Airswift is seeking an experienced Process Engineer to work on a contract basis with one of our major clients in Calgary, AB and to join a multidisciplinary team responsible for the…
Added 59 mins ago
ZC
Java Full Stack Engineer
Ztek Consulting
Montreal, QC
- $150,000 to $180,000 CAD / year
- Full-time
Develop and execute unit, integration, and automated test cases to maintain application quality and reliability.
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
PA
Expression of Interest - Aircraft Maintenance Engineers
PAL Airlines
Sept-Îles, QC
- Full-time
Are you an experienced Aircraft Maintenance Engineer (AME) looking for your next opportunity to contribute to a high‑performing aviation team? We are inviting expressions of interest from…
Added 1 hour ago
QW
Quality Engineer (QE) / SDET – AI Chatbot Validation
Quantum World Technologies Inc.
Toronto, ON
- Contract
Validate AI chatbot responses, prompt behavior, accuracy, hallucinations, safety, latency, and reliability.
Added 1 hour ago
JG
Data Engineer with Metadata- 9+ Years
J2B Global LLC
Mississauga, ON
- Full-time
Job Summary: We are seeking an experienced Data Engineer with 9+ years of experience in designing, developing, and implementing enterprise data solutions. The ideal candidate should have…
Added 1 hour ago
LA
Staff Electrical Engineer
LVI Associates
Toronto, ON · Greater Toronto Area, Canada
- $160,000 USD / year
- Full-time
…developing engineering solutions that support the modernization, reliability, and long-term operation of critical energy…
Added 1 hour ago
Software Engineer, International Expansion
Robinhood
Toronto, ON
…acquisition globally. We prioritize technical rigor, system reliability, and quick execution to deliver reliable products to our growing customer base. Our culture is centered on clear…
Added 1 hour ago
NF
Renewable Energy Asset Manager
Natural Forces
Halifax, NS
- Full-time
Delivering accurate reporting and actionable recommendations that improve asset performance and reliability.
Added 1 hour ago
TC
Site Reliability Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Seeking a Site Reliability Engineer with strong experience in production operations, observability, monitoring, and automation to improve application and infrastructure reliability,…
Added 2 hours ago
Staff Engineer / AI Builder - Toronto
Robots and Pencils
Toronto, ON
…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 3 hours ago
NQ
cryogenics engineer
Nord Quantique
Sherbrooke, QC
- Full-time
Added 3 hours ago
S
Senior Electrical Engineer
Shell
Sarnia, ON
- Full-time
Shell is seeking a Senior Electrical Engineer to join its team in Sarnia.
Added 4 hours ago
J
Mechanical engineer
JobsMedia.io
Sherbrooke, QC
- Full-time
Added 4 hours ago
J
Cryogenics engineer
JobsMedia.io
Sherbrooke, QC
- Full-time
Added 4 hours ago
HT
PD Software for Service
Husky Technologies
Bolton, ON
- Full-time
The Service team is a unique team in Development engineering responsible for enhancing the reliability and performance of Husky’s products by resolving systemic service issues. The team is…
Added 4 hours ago
PA
Expression of Interest - Aircraft Maintenance Engineers
PAL Airlines
Wabush, NL
- Full-time
Are you an experienced Aircraft Maintenance Engineer (AME) looking for your next opportunity to contribute to a high‑performing aviation team? We are inviting expressions of interest from…
Added 4 hours ago
NB
Site Reliability Engineer
National Bank of Canada
Montreal, QC
- Full-time
A career as a Site Reliability Developer in the IT Delivery, Wealth Management team at National Bank means acting as a specialist in application reliability, observability, and operational…

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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