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Added 1 min ago
AI
Machine Learning Engineer- AWS SageMaker
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 8+ years of overall IT experience and strong expertise in building, deploying, and operationalizing…
Added 47 mins ago
D
Java Software Engineer
Dexian
Mississauga, ON
- Contract
Added 47 mins ago
I
Senior Systems Engineer
illumin
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $150,000 CAD / year
- Full-time
We are hiring a Senior Systems Engineer to join our Infrastructure & Operations team. This is a senior, hands-on infrastructure role focused on Linux systems, virtualization, physical and…
Added 47 mins ago
AS
Cloud DevOps Engineer – Health
Alquemy Search & Consulting
Vancouver, BC
- Full-time
We are seeking a Cloud DevOps Engineer to join the Health Team. This role will focus on provisioning and maintaining Azure infrastructure, supporting Kubernetes-based applications, and…
Added 1 hour ago
LI
Senior AWS SageMaker Engineer
LanceSoft, Inc.
Toronto, ON
- $50 to $55 CAD / hour
- Contract
Added 1 hour ago
RC
MLOps Engineer
Realtek Consulting LLC
Toronto, ON
- Contract
Job Title: Senior AWS SageMaker / MLOps Engineer
Added 1 hour ago
AI
Senior AWS SageMaker / MLOps Engineer
Apptoza Inc.
Toronto, ON
- Contract
We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 8+ years of overall IT experience and strong expertise in building, deploying, and operationalizing…
Added 1 hour ago
ET
AWS SageMaker / Machine Learning Engineer
Envision Technology Solutions
Toronto, ON
- Contract
Added 2 hours ago
SS
Senior Software Developer, AI Solutions
System Soft Technologies
Quebec, QC
- Full-time
client is looking for a senior software engineer - a builder first - for our AI Solutions team. This is a hands-on development role, not machine-learning research: you’ll build production…
Added 3 hours ago
RB
Senior Director, Program Delivery
Royal Bank of Canada
Toronto, ON
- Full-time
Added 4 hours ago
A
Manager, Software Engineering
AltaML
Toronto, ON
- Full-time
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't.
Added 9 hours ago
Mission Manager, National Security, Mandiant
Google
Ottawa, ON
Relevant industry certifications (e.g., CISSP, CCSP, Google Cloud Certified Professional Cloud Security Engineer, or equivalent).
Added 9 hours ago
B
Observability Engineer – Kubernetes Platform
BullTechSystem
Halifax, NS
- Full-time
We are seeking an experienced Observability Engineer to join our Enterprise Kubernetes Platform team at a leading financial services organization.
Added 10 hours ago
Software Development Engineer II, Advertiser Growth Engine
Amazon
Toronto, ON
Added 10 hours ago
Q
Sr Staff/Principal DevOps Engineer, Machine Learning Infrastructure and Performance
Qualcomm
Markham, ON
- Full-time
Added 11 hours ago
N
Software Engineer - AI/Inference /Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Added 12 hours ago
M
Senior software engineer: Applied AI
Morningstar
Toronto, ON
- Full-time
We are seeking a Senior Software Engineer to build the applied systems that bring AI capabilities into production: the data pipelines, LLM integrations, agentic workflows, tool interfaces,…
Added 12 hours ago
M
Senior Software Engineer- Applied AI
Morningstar
Toronto, ON
- Full-time
We are seeking a Senior Software Engineer to build the applied systems that bring AI capabilities into production: the data pipelines, LLM integrations, agentic workflows, tool interfaces,…
Added 15 hours ago
BP
Field Applications Software Engineer
Botic Partners
Zurich, ON
- Full-time
Added 16 hours ago
GD
Software Engineering Developer, DevOps
General Dynamics Missions System International
Ottawa, ON
- $85,000 to $110,000 CAD / year
- Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 16 hours ago
BS
Technical Lead (Full-Stack Engineering & AI)
Brainhunter Systems Ltd
ON · Ontario, Canada
- Contract
We are looking for a hands-on Technical Lead and Senior Full-Stack Engineer who can build across the front end, back end, experience engine, and AI/ML layers and establish the engineering…
Added 17 hours ago
SM
ML Engineer, Trust & Safety [Hapiko]
Spin Master Ltd
Toronto, ON
- Full-time
…the core of the product. As our first dedicated Trust Safety engineer, you'll own the systems that keep it that way as we…
Added 17 hours ago
SM
ML Engineer, Character Models [Diffusion] - Hapiko
Spin Master Ltd
Toronto, ON
- Full-time
Partner with our ML Serving engineer to get new products into production, and with our Trust Safety engineer so they're safe for kids from day one.
Added 17 hours ago
BI
Staff Machine Learning / Operations Research Engineer
Burq, Inc.
Remote, Canada
- Full-time
- Remote
We're hiring a Staff ML/OR engineer to define and build the intelligence at the core of Dispatch OS, our platform for ML-assisted dispatch decisions. You'll set the technical direction for…
Added 18 hours ago
RB
Principal AI Engineer, Agentic Models and Data Platforms
Royal Bank of Canada
Calgary, AB
- Full-time

Robots & Pencils

Staff Engineer / AI Builder

Canada

Our salary range is $176,612 - $243,680 CAD · Full-time

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Job details

Pay: Our salary range is $176,612 - $243,680 CAD
Job type: Full-time
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: Oct 7, 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

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

Our salary range is $176,612 - $243,680 CAD

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More about this job

Responsibilities

Lead the architecture, development, evaluation, and production delivery of reliable AI/ML systems, including agentic workflows, RAG pipelines, and integrations with AWS services. Own features and releases end-to-end, establish engineering standards, collaborate across product and delivery teams, and mentor engineers.

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 GenAI and cloud services, and the ability to own complex integration and reliability challenges.

Skills

Agentic AI
Generative AI
Large Language Models
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

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
API Gateway
DynamoDB
S3
SQS
EventBridge
Step Functions
Docker
Circuit Breakers

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