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Added 6 mins ago
RB
Technical Program Manager (Cloud)
Royal Bank of Canada
Toronto, ON
- Full-time
…of complex, cross-team cloud programs, including migrations, platform and landing zone builds, environment and capacity readiness, and the modernization of on-prem…
Added 7 mins ago
DC
Senior Product Manager, Echo MS
Danaher Corporation
Concord, ON · CAN - Concord - AB Sciex LP
- $130,000 to $150,000 CAD / year
- Full-time
The Senior Product Manager, Echo MS is responsible for owning the product strategy, roadmap, and lifecycle of the Echo MS+ platform (including configurations with ZenoTOF 7600, ZenoTOF…
Added 21 mins ago
T
Software Engineer II
TD
Toronto, ON
- Full-time
…knowledge of cloud infrastructure, deployment patterns and scalable engineering practices. You translate architecture and product requirements into quality software, working independently…
Added 21 mins ago
C
Azure Cloud Platform Engineer
Centraprise
Toronto, ON
- Contract
Requirement - Senior Azure Platform Engineer:
Added 22 mins ago
B
Director, Head of Equity Derivatives Risk Engineering
BMO
Toronto, ON · FCP
- Full-time
Engineering discipline - Own release, test and DevOps for the platform; raise instrumentation, observability and resilience so that support load falls and change velocity rises.
Added 22 mins ago
AC
Développeur·euse Java (Marché financier)
ALTEN Canada
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Who are we? A global leader in engineering and IT consulting with over 58,000 consultants worldwide, the ALTEN Group has been optimizing the technological performance of companies for over…
Added 51 mins ago
Senior Costing Manager
PCL Construction
Edmonton, AB
As a Senior Costing Manager for PCL Constructors Inc. in Edmonton, Alberta (Corporate), you'll have the opportunity to turn field-tested judgment into scalable practices, coach project…
Added 52 mins ago
IG
Functional QE Lead
Insight Global
Vancouver, BC
- $120,000 to $140,000 CAD / year
- Full-time
Our client is looking for a Quality Engineering Lead to provide senior technical and program-level Quality Engineering leadership for complex, business-critical initiatives. Your initial…
Added 1 hour ago
AP
Founding Product Manager
AMZ Prep
Remote, Canada
- Full-time
- Remote
…technical product manager who wants to own a meaningful part of the platform, work shoulder to shoulder with engineers and operators, and turn messy logistics problems into software people…
Added 1 hour ago
Senior Performance Marketing Manager, Paid Social
Gusto, Inc.
Toronto, ON
…partnership with the broader marketing team. Collaborate with Engineering to launch new pixels and tracking, troubleshoot platform-side issues, and QA implementations, keeping measurement…
Added 1 hour ago
RE
EOS Principal Software Engineer
Rodan Energy Solutions Inc.
Mississauga, ON
- Full-time
Rodan Energy is seeking a technically versatile Senior Software Engineer to build and evolve industry-leading Energy Optimization Solutions (EOS) and help shape the future of software,…
Added 1 hour ago
A
Data Engineer - MS Fabric & Azure Data Platform
Akkodis
Toronto, ON · Greater Toronto Area, Canada
- Contract
5+ years of Data Engineering, Data Integration, or Data Platform experience
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,…
Added 1 hour ago
T
TekRek - Senior Application Security Engineer
TekRek
Vancouver, BC
- $130,000 to $150,000 CAD / year
- Full-time
…manage their accounts online, by text, or by phone, so the platform carries sensitive financial and personal data at real…
Added 1 hour ago
C
Senior Data Architect
Ccube
Mississauga, ON
- Contract
We are looking for a highly skilled "Senior Data Architect" With (Strong Databricks) to join our growing data and cloud team in Mississauga, ON (Remote/Hybrid). The ideal candidate will…
Added 1 hour ago
RI
Senior APIC Developer / API Gateway Platform Engineer
Raas Infotek
Toronto, ON
- Contract
Job Title :- Senior APIC Developer / API Gateway Platform Engineer | 7+ Years
Added 1 hour ago
KT
Gen AI Developer
Kaizen Technologies
Toronto, ON
- Contract
…Generative AI or LLM solutions in production, including prompt engineering, RAG, guardrails, and…
Added 1 hour ago
Senior Software Developer (AI Platform & Applications)
Dayforce
Canada
We are looking for an Intermediate to Senior Software Developer to join the team building AI-powered capabilities within the Dayforce platform. This role is ideal for an experienced…
Added 1 hour ago
EM
Senior Consultant/Manager - Data Engineer
Electric Mind
Toronto, ON
- Full-time
…Databricks for a financial services/wealth management data platform. The platform ingests data from multiple source systems, transforms it through a medallion architecture (bronze → silver…
Added 1 hour ago
M
Director, Trust & Anti-Fraud // Directeur, Confiance et Anti-fraude
Mistplay
Toronto, ON · Montreal, QC
- Full-time
…the company runs on, and you'll report on all three to the Senior Leadership Team and the board. You won't do it alone. You'll work in a tight coordination with our Fraud Analytics Manager…
Added 1 hour ago
RE
EOS Principal Software Engineer
Rodan Energy Solutions Inc.
Mississauga, ON
- Full-time
Rodan Energy is seeking a technically versatile Senior Software Engineer to build and evolve industry-leading Energy Optimization Solutions (EOS) and help shape the future of software,…
Added 1 hour ago
R&
Staff AI Builder
Robots & Pencils
Canada
- Full-time
…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…
Added 1 hour ago
RA
Senior Azure Cloud Platform Engineer – Power BI & Informatica
Recrute Action
Toronto, ON
- Contract
Strong platform engineering experience, including platform administration, support, upgrades, governance, and troubleshooting.
Added 1 hour ago
BH
Senior Manager, Digital Innovation (AI)
BC Hydro
Burnaby, BC
- Full-time
The Senior Manager, Digital Innovation provides both technical and strategic leadership to identify, prioritize, and respond to demand for AI solutions. This includes accelerating the…
Added 1 hour ago
M
Director, Trust & Anti-Fraud // Directeur, Confiance et Anti-fraude
Mistplay
Montreal, QC
- Full-time
…the company runs on, and you'll report on all three to the Senior Leadership Team and the board. You won't do it alone. You'll work in a tight coordination with our Fraud Analytics Manager…

Robots & Pencils

Staff 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: Nov 5, 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, optimization, and integration of production AI/ML systems, including agentic workflows, RAG pipelines, evaluation, and observability. Own features and releases end-to-end, establish engineering standards, mentor engineers, and collaborate across teams to deliver reliable, secure, and scalable AI products.

Requirements

Requires 6+ years of software engineering experience, including production experience with GenAI/LLM systems, agentic AI, RAG, and LLM evaluation and observability. Candidates should have strong Python and Node.js skills, hands-on experience with AWS GenAI and cloud services, and practical knowledge of reliability patterns, Docker, and full-stack application development.

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
Event-Driven Architecture
Docker

Visa sponsorship

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Keywords

Agentic Workflows
Generative AI
Large Language Models
Multi-Agent Orchestration
Tool Calling
Retrieval-Augmented Generation
Embeddings
Vector Search
OpenSearch
Re-Ranking
AWS Bedrock
Amazon Bedrock Agent Core
Model Context Protocol
Prompt Engineering
LLM Evaluation
RAGAS
LLM-as-Judge
LangFuse
LangSmith
Python
Node.js
AWS Lambda
API Gateway
DynamoDB
Step Functions
Amazon SQS
Amazon EventBridge
Amazon S3
Docker
Retries and Circuit Breakers

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