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Added 11 mins ago
A
Forward Deployed AI Engineer - Associate Manager
Accenture
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
This is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer-Associate Manager is a production engineer who works embedded…
Added 11 mins ago
VI
Staff Information Security Engineer - Threat Detection & Response
Visier Inc.
Vancouver, BC
- Full-time
Cross-Functional Security Integration: Partner closely with software developers, SREs, and offensive security functions to convert emerging vulnerabilities and organization-specific risks…
Added 12 mins ago
C
Azure Cloud Platform Engineer with Azure Databricks, Azure Data Factory deployment experience
Centraprise
Toronto, ON
- Contract
The customer is looking for a Senior, hands-on Azure Platform Engineer with strong platform expertise across Azure Databricks, Azure Data Factory, Terraform, GitHub Actions, networking,…
Added 12 mins ago
C
Azure Cloud Platform Engineer
Centraprise
Toronto, ON
- Contract
Skills: Azure Cloud Platform Engineer with Azure Databricks, Azure Data Factory deployment experience
Added 12 mins ago
TI
Containerization Security Engineer
Themesoft Inc.
Toronto, ON
- Contract
Certified Kubernetes Security Specialist (CKS)
Added 12 mins ago
H
Adobe Site Reliability Engineer
HRConnects
Toronto, ON
- $110,000 to $120,000 CAD / year
- Full-time
…experiences that reach millions worldwide. As a Site Reliability Engineer, you'll be at the forefront of ensuring our platform remains fast, resilient, and secure - making a direct impact…
Added 12 mins ago
H
Bilingual Senior L3 AI Engineer
HRConnects
Montreal, QC
- Full-time
…technical challenges? We are seeking a dynamic Senior Level 3 AI Engineer to be at the forefront of our AI product support and deployment initiatives. This is your chance to play a pivotal…
Added 26 mins ago
SI
Senior DevOps Engineer
Siri InfoSolutions, Inc.
ON · Ontario, Canada
- Full-time
Candidate will need to work closely with software developers, security teams, and system administrators to build scalable, resilient, and self-healing systems.
Added 26 mins ago
UO
Electro-Optical Systems Engineer
University of Alaska Fairbanks Petroleum Engineering
Engineer, BC
- Full-time
SDL is seeking an Electro-Optical Systems Engineer (EOSE) to join our Strategic & Military Space Division. The selected candidate will serve as a technical authority bridging optical…
Added 26 mins ago
AI
GCP Data Engineer
Aptino, Inc.
Canada
- Contract
We are looking for an experienced GCP Data Engineer with strong hands-on expertise in Google BigQuery, SQL, and data warehousing. Experience with dbt and telecommunications data, including…
Added 26 mins ago
SL
Senior DevOps Engineer
Staffingine LLC
Mississauga, ON
- $120,000 to $125,000 CAD / year
- Full-time
Candidate will need to work closely with software developers, security teams, and system administrators to build scalable, resilient, and self-healing systems.
Added 26 mins ago
GD
Senior Integrations Engineer
Globalfaces Direct
Toronto, ON · North York, ON
- $95,000 to $115,000 CAD / year
- Full-time
…Server data pipelines. We are seeking a Senior Integrations Engineer to own the architecture, delivery, and reliability of secure, PCI-compliant integrations connecting our platform to…
Added 26 mins ago
QT
Développeur logiciel principal - Strata CAD / Senior Software Developer - Strata CAD
Quantum Technology Recruiting Inc. (QTR)
Montreal, QC
- $100,000 to $120,000 CAD / year
- Full-time
We're looking for a highly skilled Senior Windows .NET Software Engineer to join the Engineering department. You'll design and build software solutions using WinForms, WPF and Web Services…
Added 27 mins ago
MM
Test Specialist
Modine Manufacturing Company
Calgary, AB
- Full-time
The Test Engineer is responsible for planning, setting up, executing, and reporting product tests to validate performance and compliance with customer requirements. This role supports…
Added 41 mins ago
M
Software Engineer II
Mastercard
Vancouver, BC
- Full-time
We are looking for a Software Developer to join our DMP team in Vancouver office.
Added 41 mins ago
SG
Associate Platform Engineer
S&P Global Mobility
London, ON
- Full-time
· Collaborate closely with developers, architects, cloud engineers, support teams, security teams, and other stakeholders.
Added 41 mins ago
Principal Data Engineer
Scotiabank
Toronto, ON
Collaborates with data scientists, data analysts, and software engineers to understand user requirements and inform the design and development of data engineering features.
Added 56 mins ago
SI
Cloud Engineer
Spait Infotech
Canada
- Full-time
Implement cloud security policies, IAM roles, access controls, and compliance standards.
Added 56 mins ago
SS
Senior Java Software Engineer
Soho Square Solutions
Toronto, ON
- Contract
Added 56 mins ago
Y
AI Security Research Engineer
Yochana
Toronto, ON
- $40 to $45 CAD / hour
- Contract
Development of security tools or research frameworks
Added 56 mins ago
Q
ASICS Design Verification Engineer (Multiple Levels) - Vancouver OR Markham
Qualcomm
Vancouver, BC · Markham, ON
- Full-time
Master’s degree in Computer Science, Electrical Engineer, Computer Engineering, or a closely related field
Added 56 mins 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 56 mins 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 56 mins 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 hour ago
T
DevOps Engineer
Talenzaa
Mississauga, ON
- Full-time
Candidate will need to work closely with software developers, security teams, and system administrators to build scalable, resilient, and self-healing systems.

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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