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Added 12 mins ago
AI
Software Architect
Arkion Identity Systems
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are building a highly secure and scalable cloud-native platform for non-human identity governance. We are looking for a Software Architect to define and implement the technical…
Added 12 mins ago
AI
Senior AWS SageMaker / MLOps Engineer
Apptoza Inc.
Toronto, ON
- Contract
Experience with CI/CD tools and cloud-native development practices
Added 12 mins ago
ET
AWS SageMaker / Machine Learning Engineer
Envision Technology Solutions
Toronto, ON
- Contract
Experience with CI/CD tools and cloud-native development practices
Added 14 mins ago
Application Architect Core HR
Scotiabank
Toronto, ON
Design for Impact: Create scalable, cloud-native solutions - primarily on new technologies - that enhance performance, security, and user experience.
Added 14 mins ago
Salesforce Technical Architect - Financial Services Cloud, Marketing Cloud & Data360 - Manager
EY
Toronto, ON · Montreal, QC
We're looking for a senior, hands-on technical architect - someone with deep Financial Services Cloud implementation experience who still configures, codes, and builds, not just designs on…
Added 29 mins ago
Senior Software Engineer, OIG
Okta
Toronto, ON
Strong proficiency in one or more of: Java, Kotlin, Go, or equivalent JVM/cloud-native languages used in Okta's backend stack
Added 43 mins ago
O
Senior Software Engineer, OIG
Okta
Toronto, ON
- $136,000 to $187,000 CAD / year
- Full-time
Strong proficiency in one or more of: Java, Kotlin, Go, or equivalent JVM/cloud-native languages used in Okta's backend stack
Added 1 hour ago
Principal Network Engineer
Hasbro
Montreal, QC
Develop the AWS and Palo Alto Panorama cloud integration - detailing how cloud-native firewall policy, VPC topology, and on-premises ZTNA fabric combine within a unified enforcement plane.
Added 1 hour ago
B
Senior .Net Developer
Bertelsmann-Jobs
Mississauga, ON
- $90,000 to $105,000 USD / year
- Full-time
Familiarity with cloud platforms (Azure preferred) and cloud‑native application development.
Added 1 hour ago
A
Senior .Net Developer
Arvato
Mississauga, ON
- $90,000 to $105,000 USD / year
- Full-time
Familiarity with cloud platforms (Azure preferred) and cloud‑native application development.
Added 1 hour ago
UC
Software Engineer (AWS)
UniSysTech Consulting
Toronto, ON · Greater Toronto Area, Canada
- Other
We are seeking a proactive and technically sharp AWS Developer (Not a DevOps position) to join a technology team supporting core financial infrastructure at a top-tier Canadian bank. You…
Added 5 hours ago
A
Chief Technology Officer
Aimhire
Toronto, ON
- Full-time
They’re looking for a hands-on, product-minded CTO to lead product and engineering and build an AI-native platform for the next phase of growth.
Added 5 hours ago
YR
Enterprise Cloud Architect (Enterprise Architect)
York Region (The Regional Municipality of York)
Newmarket, ON
- Full-time
Reporting to the ITS Projects Manager or designate within Information Technology Services, the Enterprise Cloud Architect serves as the cloud domain architect within the Enterprise…
Added 9 hours ago
N
Software Engineer - AI/Inference /Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Leverage and contribute to relevant open-source cloud native projects.
Added 9 hours ago
NI
Software Developer
Nuwelcom Inc
Charlottetown, PE
- Full-time
We are seeking a highly skilled Software Developer to lead the design, development, and deployment of cutting-edge digital solutions across web, mobile, and cloud platforms. This role is…
Added 10 hours ago
SC
Senior Developer
SAP Careers
Montreal, QC
- $108,100 to $222,800 CAD / year
- Full-time
We are looking for a dynamic and motivated Senior Software Developer who embrace AI-assisted software development as part of their everyday engineering practice to join our engineering…
Added 10 hours ago
SC
Software Developer
SAP Careers
Montreal, QC
- $77,500 to $166,200 CAD / year
- Full-time
We are looking for a dynamic and motivated Software Developer who embrace AI-assisted software development as part of their everyday engineering practice to join our engineering team. The…
Added 12 hours ago
J
Chief Technology Officer
Jobgether
Canada
- $225,000 to $275,000 CAD / year
- Full-time
Possess deep expertise in software and systems architecture, including distributed systems, cloud-native architecture, APIs, data platforms, scalability, security, and modern engineering…
Added 12 hours ago
C
Chief Technology Officer, AI-Native Consumer Platform
Calliere
Toronto, ON
- Full-time
…they want a CTO who will turn their client platform into an AI-native engine and use it to become the largest consumer law business in…
Added 12 hours ago
M
Innovative Data Platform Solution Engineer
Microsoft
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
…deploy, and manage database and analytics applications in a cloud-native…
Added 12 hours ago
U
Dir. Software Development
UKG
Montreal, QC
- Full-time
Expérience des architectures cloud-native, des microservices, de l'observabilité, du CI/CD, des tests automatisés et des pratiques modernes de livraison de logiciels.
Added 12 hours ago
E
AI Software Designer RAN & AI Solutions
Ericsson
Ottawa, ON
- Full-time
At Ericsson, we are building the next generation of intelligent, AI-native telecommunications networks. As the industry evolves from 5G toward 6G, we are advancing wireless technologies,…
Added 13 hours ago
CS
Co-op: IT and Engineering
Canadian Security Intelligence Service (CSIS) | Service canadien du renseignement de sécurité (SCRS)
Ottawa, ON
- Volunteer
Added 13 hours ago
CS
Co-op: IT and Engineering
Canadian Security Intelligence Service (CSIS) | Service canadien du renseignement de sécurité (SCRS)
AB · Edmonton, AB
- Volunteer
Added 13 hours ago
CS
Co-op: IT and Engineering
Canadian Security Intelligence Service (CSIS) | Service canadien du renseignement de sécurité (SCRS)
Montreal, QC
- Volunteer

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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