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Added 10 mins ago
AI
Principal Consultant – AWS Data Platforms & Agentic AI
Apptoza Inc.
Toronto, ON
- Contract
Design fine-grained data security, including RLS/CLS, data governance, guardrails and access observability.
Added 40 mins ago
SI
Sr. DevSecOps Cloud Specialist
Smart IT Frame LLC
Mississauga, ON
- Contract
The engineer must partner closely with application, security, and infrastructure teams to ensure secure, scalable, and highly available systems across all environments. This role also…
Added 40 mins ago
AI
Quality Engineer (QE) / SDET – AI Chatbot Validation
Apptoza Inc.
Toronto, ON
- Contract
Role - Quality Engineer (QE) / SDET – AI Chatbot Validation
Added 56 mins 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
Software Engineer, International Expansion
Robinhood
Toronto, ON
As a Full Stack Software Engineer, you will be a core technical driver for Robinhood’s global expansion initiatives. You will bridge high-performance frontend interfaces with resilient…
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 1 hour 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 4 hours ago
NB
Site Reliability Engineer
National Bank of Canada
Montreal, QC
- Full-time
…Bank means acting as a specialist in application reliability, observability, and operational maturity. This role allows you to make a concrete and lasting impact on the performance of our…
Added 5 hours ago
SP
Software Engineering LMTS
Salesforce Partner Canada
Vancouver, BC
- Full-time
The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. Equally…
Added 6 hours ago
Copy of Senior Software Development Engineer in Test, ML
PlayStation Global
Waterloo, ON
PlayStation is seeking a Sr Software Development Engineer in Test, ML to join our Madison team and lead quality efforts for machine learning-powered products and services. You will partner…
Added 10 hours ago
L
Senior Software Engineer
lululemon
BC · British Columbia, Canada
- Full-time
Senior Software Engineer - Tech Distribution & Logistics Systems
Added 13 hours ago
IG
Principal Platform Engineer
Insight Global
Vancouver, BC
- Full-time
Insight Global is seeking a Principal Platform Engineer for a global retailer to take technical ownership of and scale an enterprise AI platform within GCP.
Added 13 hours ago
J
AI Engineer (Agentic Systems)
Jobgether
Canada
- Full-time
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Engineer (Agentic Systems) based in Canada.
Added 14 hours ago
S
Software Engineering LMTS
Salesforce
Vancouver, BC · Canada - Vancouver
- Full-time
The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. Equally…
Added 14 hours ago
V
Senior Lead Data & AI Engineer
Vanguard
Toronto, ON
- Full-time
We are seeking an experienced Senior Lead Data & AI Engineer with 9-12+ years of experience in Data Engineering and modern cloud-based data platforms, with deep expertise in Databricks,…
Added 14 hours ago
M
Lead Full Stack Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
As a Lead Full Stack Engineer, you will shape the technical direction for your area, lead complex engineering programs across multiple teams, and establish standards for how solutions are…
Added 15 hours ago
M
Lead Full Stack Engineer
Manulife
Waterloo, ON
- Full-time
As a Lead Full Stack Engineer, you will shape the technical direction for your area, lead complex engineering programs across multiple teams, and establish standards for how solutions are…
Added 15 hours ago
I
Technology Analyst - GenAI
Infosys
Mississauga, ON
- Full-time
Infosys is seeking a hands-on Gen AI / Agentic AI Engineer to design, develop, and deploy next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation…
Added 15 hours ago
I
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
- Full-time
…and Agentic AI frameworks. This role is ideal for a mid-level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a…
Added 15 hours ago
AI
Quality Engineer (QE) / SDET – AI Chatbot Validation
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
We are looking for a seasoned AI first Senior Quality Engineer who is empowered to help the DevOps enablement team deliver highest level quality and is responsible for ensuring the team…
Added 15 hours ago
IG
Quality Engineer – AI Chatbot Validation
IMCS Group
ON · Ontario, Canada
- Contract
Job Title: Quality Engineer (QE) / SDET – AI Chatbot Validation
Added 15 hours ago
C
Software Developer
Cisco
Vancouver, BC
- Full-time
Senior Software Engineer (G10) – Job Description
Added 16 hours ago
C
Expert AI Engineering-CA
CN
Quebec, QC
- Full-time
Experience implementing observability, quality evaluation, red-teaming, hallucination mitigation, safety controls, and continuous improvement practices for AI systems*
Added 16 hours ago
TL
Senior Data Engineer (Modern Data Stack) [Only Canada]
Tekton Labs
Canada
- Full-time
…Peru, Mexico, and the USA, we are looking for a Senior Data Engineer to join our team and collaborate directly with our client in the Canadian financial…
Added 16 hours ago
TI
Quality Engineer (QE) / SDET – AI Chatbot Validation
Tekgence Inc
Brampton, ON
- Contract
We are looking for a seasoned AI first Senior Quality Engineer who is empowered to help the DevOps enablement team deliver highest level quality and is responsible for ensuring the team…

Robots and Pencils

Staff Engineer / AI Builder - Toronto

Toronto, ON, 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 and deliver production-grade agentic AI systems, including orchestration, RAG pipelines, prompts, evaluation, observability, and reliability safeguards. Build and support cloud-native services and integrations, make architecture decisions, mentor engineers, and own features and releases end-to-end.

Requirements

Requires 6+ years of software engineering experience, including production experience with GenAI/LLM systems, and hands-on expertise in agentic AI, RAG, evaluation, observability, and prompt engineering. Candidates should have 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
Large Language Models
RAG
Prompt Engineering
Python
Node.js
AWS Bedrock
Amazon Bedrock Agent Core
DynamoDB
OpenSearch
LLM Evaluation
LLM Observability
AWS Lambda
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
Embeddings
Vector Search
OpenSearch
Re-Ranking
AWS Bedrock
Amazon Bedrock Agent Core
Model Context Protocol
Prompt Engineering
RAGAS
LLM-as-Judge
LangFuse
LangSmith
Python
Node.js
AWS Lambda
DynamoDB
Step Functions
SQS
EventBridge
Docker
Serverless Architecture
Circuit Breakers
Retries and Backoff

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