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Added 54 mins ago
Senior Java Back-End Engineer, TD Securities
TD
Toronto, ON
Full-time
TDS Enterprise Technology Solutions, Global Prime Brokerage is looking for a Full-time Senior Java Developer.
Added 2 hours ago
Senior Software Engineer
Okta
Toronto, ON
$136,000 to $187,000 CAD / year
Full-time
We are looking for a Senior Software engineer who is passionate about writing the tools to integrate and support to build large-scale, high-demand software in a fast-paced agile…
Added 2 hours ago
Senior Associate Crypto Platform Engineer
Scotiabank
Toronto, ON
As a Senior Associate Crypto Platform Engineer, you will be a core member of the Crypto Engineering pillar, responsible for providing technology operations support for the deployment of…
Added 2 hours ago
Senior Principal Software Engineer, R&D
Mastercard
Toronto, ON
Full-time
Mastercard is looking for a Senior Principal Software Development Engineer to join the Mastercard Foundry Research and Development team in our Toronto location. In this role, you will…
Added 2 hours ago
Staff Information Security Engineer - Threat Detection & Response
Visier Solutions Inc
Vancouver, BC
This senior technical IC role owns Visier’s threat detection and response capabilities end-to-end - driving the overarching strategy, tooling engineering, detection content, and incident…
Added 3 hours ago
Staff Software Engineer
Atlas HXM
Canada
We’re looking for a Staff Software Engineer (Product) to help shape the technical evolution of our product. This is a senior individual contributor role focused on building high-quality…
Added 5 hours ago
Senior Data Engineer :Scala, Spark, Python, Hadoop, Databricks
TD
Toronto, ON
Full-time
As a Senior Data Engineer in the XVA and CCR data development team, you will be responsible for designing, building, and maintaining scalable data pipelines that power our analytics and…
Added 5 hours ago
Software Technical Leader
Cisco
Fredericton, NB · Yellowknife, NT · Toronto, ON · Mississauga, ON · Vancouver, BC · Halifax, NS · St. John's, NL · Montreal, QC · Ottawa, ON · Winnipeg, MB · Regina, SK · AB · Calgary, Alberta · Kanata, Ontario · Saint-Laurent, Quebec
Full-time
Senior Software Engineer - Cloud Data Ingestion Platform
Added 6 hours ago
Senior Cloud Infrastructure Engineer
Mecka
Remote, Canada
$165,000 to $200,000 CAD / year
Full-time · Remote
…AWS infrastructure this team builds and runs. We're hiring a Senior Cloud Infrastructure Engineer to help design, scale, and harden Mecka's AWS environment, with a focus on the networking…
Added 7 hours ago
Senior Business Systems Analyst (BSA) – Infrastructure & Developer Platform
Flow Global Technology
Vancouver, BC
Contract
Working knowledge of SecOps and cloud security principles – IAM and least privilege, secrets management, policy-as-code, vulnerability and compliance scanning, and frameworks such as ISO…
Added 1 day ago
Senior Technical Program Manager
Warner Bros. Discovery
Ottawa, ON
Full-time
Evaluate system architecture, service boundaries, API contracts, event flows, data models, cloud infrastructure, security constraints, reliability concerns, and integration risks well…
Added 1 day ago
Lead IAM Engineer
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
Full-time
We are seeking a highly skilled and experienced Lead IAM Engineer to join our team. This role will be responsible for the design, implementation, administration, optimization, and support…
Added 2 days ago
Senior Cloud Security Engineer ( Global Security)
RBC
Vancouver, BC · Toronto, ON
Full-time
The AWS Security Controls team within Cloud Security Engineering is working on several exciting initiatives to further secure RBC’s AWS environment. In this role as a Senior Cloud Security…
Added 2 days ago
Senior Data Platform Engineer
Norton Rose Fulbright
Toronto, ON · Calgary, AB
Full-time
The Senior Data Platform Engineer will act as a technical lead for our technologies in any project or initiative, and is responsible for designing, developing, implementing, and supporting…
Added 2 days ago
Senior Software Engineer
Dye & Durham Talent Team
Montreal, QC
Dye & Durham, a leading global provider of cloud–based software and technology solutions, provides critical information services and workflows used by clients all over the world to manage…
Added 2 days ago
Windows Engineer II
TD
Toronto, ON
Full-time
We are seeking an experienced Senior Windows Engineer to join our Windows Engineering team. The successful candidate will be responsible for developing enterprise Windows standards,…
Added 2 days ago
Senior Manager, Engineering
TD
Toronto, ON
Full-time
The Senior Manager, Engineering role requires in-depth experience in building enterprise scaled cloud platforms, enabling cloud services and compute capabilities, and codifying patterns for…
Added 2 days ago
Senior AI Full‑Stack Engineer
Manulife
Waterloo, ON
Full-time
We are seeking a Senior Full‑Stack AI Engineer to help shape how modern AI‑driven software is built, deployed, and scaled. In this role, you will work at the intersection of cloud…
Added 2 days ago
Senior Software Engineer
Microsoft
Vancouver, BC
Full-time
Within the Azure Monitor team, we are looking for a Senior Software Engineer to help build and evolve the Azure Monitor backend systems. This role is ideal for someone who can own…
Added 2 days ago
Software Development Engineer - Agent Factory
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
Agent Factory is where Workday’s next chapter gets built. We’re forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and…
Added 2 days ago
Team Lead, AI Engineering
The Citco Group Limited
Halifax, NS
Full-time
…in the alternative investment space. Through our network of global development centres, Citco invests heavily in technology development, security, and infrastructure to ensure our clients…
Added 2 days ago
Senior AI Engineer
The Citco Group Limited
Halifax, NS
Full-time
…in the alternative investment space. Through our network of global development centres, Citco invests heavily in technology development, security, and infrastructure to ensure our clients…
Added 2 days ago
Director AI Engineering
CGI
Toronto, ON
Full-time
…engineering team will report to this role, including Forward Deployed Engineer / AI Co-op, Agentic AI Engineers, Founding AI Engineers, and the Distinguished AI…
Added 2 days ago
Senior Consultant - GCP Cloud Infrastructure Architect
Deloitte
Toronto, ON
Full-time
GCP certification (Professional Cloud Architect, Professional Cloud Network Engineer, or Professional Cloud Security Engineer).
Added 2 days ago
Senior Consultant - GCP Data & AI Architect
Deloitte
Toronto, ON
Full-time
This is a Senior Consultant role: 7–10 years of total experience with 4–6 years hands-on on Google Cloud (or equivalent cloud with a credible GCP transition path). You will lead workstreams…

Closed listing

Robots & Pencils

Staff AI Builder

Canada

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: Sep 24, 2026

This opening has closed.

The original listing is kept below for reference.

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Original job description

Archived listing. The details below describe a past opening.

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

About employer

More about this job

Responsibilities

Lead the architecture, development, integration, and optimization of production AI systems, including agentic workflows, RAG pipelines, evaluation, and observability. Own features and releases end-to-end, establish engineering standards, mentor teammates, and collaborate across product, design, and delivery teams.

Requirements

Requires 6+ years of software engineering experience, including production GenAI/LLM systems, with hands-on expertise in agentic AI, RAG, prompt engineering, and LLM evaluation and observability. Candidates should be strong in Python, Node.js, and AWS services, and understand reliability patterns, containerization, and cloud-native deployment.

Skills

Agentic AI
Generative AI
Large Language Models
Python
Node.js
AWS Bedrock
Amazon Bedrock Agent Core
Retrieval-Augmented Generation
Prompt Engineering
LLM Evaluation
LLM Observability
OpenSearch
DynamoDB
AWS Lambda
Multi-Agent Orchestration
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
LLM Evaluation
RAGAS
LLM-as-Judge
LangFuse
LangSmith
Python
Node.js
AWS Lambda
API Gateway
DynamoDB
Step Functions
SQS
EventBridge
Docker
Circuit Breakers

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