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Added 23 mins ago
Senior AI Engineer, IT Solutions 1 1 1
Celestica International LP
Toronto, ON
Excellent communication skills, with the ability to explain complex technical AI concepts to non-technical business leaders.
Added 23 mins ago
AI Practise Lead (CCaaS)
Bell
Mississauga, ON
At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the…
Added 53 mins ago
SC
Développeur Python IA (Senior)
SII Canada
Montreal, QC
- Full-time
…nous recherchons une personne expérimentée en développement Python, AI/ML et Generative AI afin de participer à la conception, au développement, à l’intégration et à l’optimisation de…
Added 2 hours ago
F
Senior Software Engineer (AI & Full Stack)
Fable
Remote, Canada
- $130,000 to $150,000 CAD / year
- Full-time
- Remote
Fable is looking for a highly motivated Senior Software Engineer with deep backend expertise, strong full-stack development skills, and hands-on experience building AI-powered applications…
Added 2 hours ago
R
Senior Platform Automation Engineer
RBC
Toronto, ON
- Full-time
4+ years of professional software development and platform engineering in financial technology or financial services, with proven expertise in Python, DevOps, and multi-cloud automation.
Added 2 hours ago
Senior Cyber Defense Operations Analyst
Epic Games
Vancouver, BC
Epic's Security Operations Center protects one of the world's largest player communities, along with the people, infrastructure, and technology that support it. As a Senior CDO Analyst, you…
Added 2 hours ago
PG
Senior Application Security Engineer
Paymentus Group Inc
Richmond Hill, ON
- Full-time
The Senior Application Security Engineer is responsible for helping secure the Paymentus SaaS platform by partnering directly with software engineering, product, cloud infrastructure,…
Added 2 hours ago
D
Java / Python Engineer
Dexian
Mississauga, ON
- $60 to $65 CAD / hour
- Contract
8+ years of professional software engineering experience, with demonstrable experience as a Full-Stack Developer transitioning into an FDE-style, customer-facing delivery role.
Added 2 hours ago
ES
Senior Data Engineer
Exchange Solutions
Toronto, ON · Greater Toronto Area, Canada
- Full-time
The Senior Data Engineer reports to the Director, Information Technology Operations and designs, builds, and scales the data systems that support analytics, AI-enabled experiences, and…
Added 4 hours ago
JC
Senior Machine Learning Engineer - (Biometrics)
Jumio Corporation
Montreal, QC
- Full-time
We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production.…
Added 4 hours ago
AI
Quality Engineer (QE) / SDET – AI Chatbot Validation
Apptoza Inc.
Toronto, 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…
Added 4 hours ago
AI
Senior Oracle Database Administrator
Apptoza Inc.
Toronto, ON
- Contract
5.Partner with infrastructure and cloud teams to design| test| and execute on-premises to AWS cloud database migrations.
Added 5 hours ago
ES
Senior Oracle Application Database Administrator
Epsilon Solutions Ltd.
Toronto, ON
- Full-time
We are seeking an experienced Senior Oracle Application DBA to optimize, scale, and maintain mission-critical database applications. This role partners closely with development and…
Added 5 hours ago
FI
Senior Oracle DBA
Flexstaf I.T. Inc.
Toronto, ON · Greater Toronto Area, Canada
- Contract
Partner with infrastructure and cloud teams to design and execute on-premises to AWS database migrations.
Added 5 hours ago
AI
Senior Database Administrator (Oracle Application DBA / Cloud)
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
We are seeking an experienced Senior Oracle Application DBA to optimize, scale, and maintain mission-critical database applications. This role partners closely with development and…
Added 5 hours ago
R&
Staff AI Developer - Toronto
Robots & Pencils
Toronto, ON
- Full-time
Support deployment, monitoring, and production troubleshooting in cloud-native environments (AWS, Docker), with guidance from senior engineers where needed
Added 5 hours ago
QW
Senior Oracle DBA
Quantum World Technologies Inc.
Toronto, ON
- Contract
Experience with AWS RDS (Oracle/PostgreSQL) and Amazon Aurora.
Added 5 hours ago
CT
Generative AI Engineer
Celebal Technologies
Canada
- Full-time
We are seeking a motivated Generative AI Engineer with 1–3 years of experience in Machine Learning, Generative AI, and Large Language Models (LLMs). The ideal candidate should have strong…
Added 6 hours ago
Campus I&D: Associate Application Consultant
Capgemini
Mississauga, ON
Experience with Python, SQL, and machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn, Lang Chain, Hugging Face).
Added 6 hours ago
VI
Staff Information Security Engineer - Threat Detection & Response
Visier Inc.
Vancouver, BC
- Full-time
…surfacing the insights leaders need to plan, decide, and act with confidence in the moments that matter most. As the market leader in people analytics, workforce planning, organizational…
Added 6 hours ago
NS
Senior Data Architect
Nimble Science
Calgary, AB
- Full-time
Experience with Azure, AWS, or Google Cloud data platforms.
Added 8 hours ago
AI
Quality Engineer (QE) / SDET – AI Chatbot Validation
Apptoza Inc.
Toronto, 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…
Added 8 hours ago
Staff AI Developer - Vancouver
Robots and Pencils
Vancouver, BC
Support deployment, monitoring, and production troubleshooting in cloud-native environments (AWS, Docker), with guidance from senior engineers where needed
Added 9 hours ago
M
RQ11623 - Systems Testing/QA Specialist - Senior
Maarut
Toronto, ON
- Contract
against the various components. The tester will work with the testing lead and
Added 9 hours ago
Staff Engineer / AI Builder - Toronto
Robots and Pencils
Toronto, ON
Support deployment, monitoring, and production troubleshooting in cloud-native environments (AWS, Docker), with guidance from senior engineers where needed

Robots & Pencils

Staff AI Developer - Toronto

Toronto, ON, Canada

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

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Job details

Pay: The salary range for this role is $ $165,604 - $228,491 USD.
Job type: Full-time
Apply by: Dec 3, 2026
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 agentic AI systems, including orchestration, RAG pipelines, prompts, evaluation, observability, and reliability safeguards. Lead architecture and technical practices, deliver full-stack and AWS platform integrations, mentor engineers, and own features and releases end-to-end.

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 should be strong in Python, Node.js, and AWS services, understand production reliability and Docker, and be authorized to work in Canada and eligible 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
Event-Driven Architecture
Docker
Multi-Agent Orchestration

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
Python
Node.js
AWS Bedrock
Amazon Bedrock Agent Core
Model Context Protocol
Retrieval-Augmented Generation
OpenSearch
Vector Search
Embeddings
Re-Ranking
Prompt Engineering
LLM Evaluation
RAGAS
LLM-as-Judge
LangFuse
LangSmith
AWS Lambda
API Gateway
DynamoDB
Amazon S3
Amazon SQS
Amazon EventBridge
AWS Step Functions
Docker
Multi-Agent Orchestration
Serverless Architecture
Circuit Breakers

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