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Added 2 mins ago
Project Manager, Capture and Optimization of Research Data (CORD) Platform
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
Full-time
Lead pre-deployment testing and quality control of data collection procedures.
Added 2 mins ago
IT Manager
Peak Performance Products Inc.
Mississauga, ON
Full-time
Lead and manage IT staff and contractors; prioritize projects and align technology initiatives with company goals
Added 2 mins ago
Manager, Centre of Excellence in Hypertension and Vascular Health
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
Full-time
Lead and support the development of competitive grant applications to provincial, national, international, foundation, and institutional funding programs.
Added 18 mins ago
Developmental Specialist
arc programs
Kelowna, BC
Full-time
Cooperate with the Practice Lead, Agency Leadership/Management, and administrative personnel to coordinate and implement program services and initiatives.
Added 32 mins ago
SAP S/4 HANA Finance Lead
TransAlta
Calgary, AB
Full-time
We are seeking a highly skilled Senior SAP S/4HANA Finance Lead Analyst to drive financial process optimization and system enhancement initiatives for our freshly upgraded S/4HANA on RISE…
Added 32 mins ago
(ASD-W) - International Student Registrar for Continuity and Integration- Internation Welcome Centre (20 Knowledge Park Drive) - TERM until June 30, 2027, with the possibility of extension
Jobbe
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Full-time
Position: International Student Registrar for Continuity and Integration Support - 1.0 FTE (36.25hr/wk)
Added 32 mins ago
Industrial Software Validation|
Husky Technologies
Bolton, ON
Full-time
…passion of our people around the world and their desire to lead change. At the same time, we are not afraid to expect a lot and strive for leadership in all of our key markets. We are a…
Added 32 mins ago
Program Coordinator – Y-RISE (Readiness, Integration, Skills, and Employment)
YMCA of Greater Halifax/Dartmouth
Dartmouth, NS
Full-time
…increasing immigrant population, safe spaces for youth to grow and lead, helping to navigating a precarious labour market, delivering wellness programming for all, and creating community…
Added 32 mins ago
Technology Specialist - Fire Alarm Systems (Winnipeg, MB)
Siemens
Winnipeg, MB
Full-time
Lead complex troubleshooting activities and provide technical expertise to technicians and project teams.
Added 32 mins ago
Financial Manager
Husky Technologies
Bolton, ON
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During the month end close, review process and integration issues in BAAN and AX. Liaison with IT and/or Controllership to resolve prior to the period close. This requires a comprehensive…
Added 1 hour ago
AUTOMATION ENGINEER
enCompass Solutions Group
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$70,000 to $112,000 CAD / year
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Plan, organize, lead, participate in and execute multiple small and large projects involving internal and external labor and procurement of material
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Senior Full Stack Developer – Java / Angular
Tata Consultancy Services
Toronto, ON
$90,000 to $110,000 CAD / year
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Lead a dynamic team covering both onshore and offshore.
Added 1 hour ago
Lead Compensation Analyst – Canada (Burlington, ON)
Wolseley Canada Inc.
Burlington, ON
Full-time
Wolseley Canada is looking for a Lead Compensation Analyst – Canada to serve as the primary compensation subject matter expert for the Canadian business.
Added 1 hour ago
Postdoctoral Scholar in Computational Oncology
University of Calgary
Calgary, AB
$65,000 CAD / year
Full-time
…population-based lung cancer research platforms, the PDS will lead the preparation, cleaning, harmonization, and analysis of clinical and molecular datasets to support collaborative…
Added 1 hour ago
Assistant Manager, Operations | Masonville Place
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Production Lead Hand
Moment Energy
Surrey, BC
$25 to $40 CAD / hour
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Moment Energy is seeking a Production Lead Hand to lead a production team responsible for the final assembly of our battery energy storage systems. In this role, you'll oversee the assembly…
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PEGA LSA
Tata Consultancy Services
Toronto, ON
$90,000 to $110,000 CAD / year
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Design and maintain secure and scalable integration solutions.
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Toronto, ON
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Salesforce Technical Lead
Capgemini
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$120,000 to $130,000 CAD / year
Salesforce Financial Services Cloud, FSC, Salesforce Technical Lead, Salesforce Architect, Apex, Lightning Web Components, LWC, Salesforce Integration, API, Banking, Wealth Management,…
Added 1 hour ago
Salesforce Technical Lead
Capgemini
Toronto, ON
$120,000 to $130,000 CAD / year
…architecture, technical design, development leadership, and enterprise integration expertise. The successful candidate will lead end-to-end Salesforce solution delivery while working…
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Growth Engineer
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$100,000 to $140,000 CAD / year
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Talent Acquisition Specialist
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SRE Consultant
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Toronto, ON
$90,000 to $110,000 CAD / year
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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

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Applications open in a new tab.

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, 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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