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Added 12 mins ago
W
Software Engineer – Platform Security & Modernization
W3Global
Montreal, QC
- $50 to $60 CAD / hour
- Contract
Software Engineer - Platform Security & Modernization
Added 12 mins ago
AI
Big Data Engineer (PySpark / Spark / Kafka)
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Job Description: Big Data Engineer (PySpark / Spark / Kafka)
Added 13 mins ago
HT
Senior AI System Engineer - LLM Training System
Huawei Technologies Canada Co., Ltd.
Vancouver, BC
- Full-time
The Computing Data Application Acceleration Lab aims to create a leading global data analytics platform organized into three specialized teams using innovative programming technologies.…
Added 13 mins ago
Senior Backend Engineer, Integrations
Movable Ink
Toronto, ON
Experience building scalable backend services in cloud environments, preferably Google Cloud Platform.
Added 28 mins ago
JG
Container Security Engineer - Kubernetes, GCP & DevSecOps.
J&M Group
Toronto, ON
- Contract
7+ years of experience with Google Cloud Platform (GCP)
Added 28 mins ago
R&
Staff AI Developer - Toronto
Robots & Pencils
Toronto, ON
- Full-time
…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 28 mins ago
BC
Senior Data Engineer (Databricks Focused)
BDO Canada
Toronto, ON
- Full-time
BDO Digital is seeking an experienced and technically proficient Senior Data Engineer (Databricks Focused) to join our Technology Advisory Services practice. This role blends technical…
Added 28 mins ago
T
Principal Data Engineer
Tangerine
Toronto, ON
- Full-time
Experience designing and implementing public cloud-based applications on Google Cloud Platform and other cloud platforms (AWS, Azure)
Added 28 mins ago
TR
Principal Engineer
Thomson Reuters
Toronto, ON
- Full-time
As Principal Engineer for Corporate Tax and Trade, you'll define and execute the technical vision for our generative AI products, ensuring we deliver powerful, user-friendly, and innovative…
Added 28 mins ago
TC
AWS Support Engineer with Payment Domain
Tata Consultancy Services
Toronto, ON
- $90,000 to $100,000 CAD / year
- Full-time
The AWS Cloud Engineer supports cloud infrastructure and serverless workloads, with a focus on production troubleshooting, infrastructure as code, networking, containerized environments,…
Added 28 mins ago
BC
Senior Data Engineer (Databricks Focused)
BDO Canada
Mississauga, ON
- Full-time
BDO Digital is seeking an experienced and technically proficient Senior Data Engineer (Databricks Focused) to join our Technology Advisory Services practice. This role blends technical…
Added 28 mins ago
BC
Senior Data Engineer (Databricks Focused)
BDO Canada
Winnipeg, MB
- Full-time
BDO Digital is seeking an experienced and technically proficient Senior Data Engineer (Databricks Focused) to join our Technology Advisory Services practice. This role blends technical…
Added 28 mins ago
BC
Senior Data Engineer (Databricks Focused)
BDO Canada
Calgary, AB
- Full-time
BDO Digital is seeking an experienced and technically proficient Senior Data Engineer (Databricks Focused) to join our Technology Advisory Services practice. This role blends technical…
Added 28 mins ago
BC
Senior Data Engineer (Databricks Focused)
BDO Canada
Montreal, QC
- Full-time
BDO Digital is seeking an experienced and technically proficient Senior Data Engineer (Databricks Focused) to join our Technology Advisory Services practice. This role blends technical…
Added 28 mins ago
BC
Senior Data Engineer (Databricks Focused)
BDO Canada
Oakville, ON
- Full-time
BDO Digital is seeking an experienced and technically proficient Senior Data Engineer (Databricks Focused) to join our Technology Advisory Services practice. This role blends technical…
Added 28 mins ago
BC
Senior Data Engineer (Databricks Focused)
BDO Canada
Halifax, NS
- Full-time
BDO Digital is seeking an experienced and technically proficient Senior Data Engineer (Databricks Focused) to join our Technology Advisory Services practice. This role blends technical…
Added 28 mins ago
BC
Senior Data Engineer (Databricks Focused)
BDO Canada
Ottawa, ON
- Full-time
BDO Digital is seeking an experienced and technically proficient Senior Data Engineer (Databricks Focused) to join our Technology Advisory Services practice. This role blends technical…
Added 28 mins ago
UT
Software Developer 3- #26-27660
US Tech Solutions
Markham, ON
- $60 to $70 USD / hour
- Contract
Enhance and scale our automation platform to support diverse workloads, use cases, and engineering teams.
Added 28 mins ago
BC
Senior Data Engineer (Databricks Focused)
BDO Canada
AB · Edmonton, AB
- Full-time
BDO Digital is seeking an experienced and technically proficient Senior Data Engineer (Databricks Focused) to join our Technology Advisory Services practice. This role blends technical…
Added 28 mins ago
BC
Senior Data Engineer (Databricks Focused)
BDO Canada
Vancouver, BC
- Full-time
BDO Digital is seeking an experienced and technically proficient Senior Data Engineer (Databricks Focused) to join our Technology Advisory Services practice. This role blends technical…
Added 58 mins ago
TI
Kubernetes Security Engineer
Themesoft Inc.
Toronto, ON
- Contract
Experience with Google cloud computing platform.
Added 58 mins ago
MI
Senior Backend Engineer, Integrations
Movable Ink
Toronto, ON
- Full-time
Experience building scalable backend services in cloud environments, preferably Google Cloud Platform.
Added 1 hour 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 1 hour ago
VI
Staff Information Security Engineer - Threat Detection & Response
Visier Inc.
Vancouver, BC
- Full-time
…advanced engineering and AI, directly safeguarding our multi-cloud platform, corporate identity, and sensitive customer data from sophisticated global threats. Your work will ensure our…
Added 1 hour 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,…

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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