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Added 5 mins ago
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Software Engineer - AI/Inference /Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Have strong programming fundamentals, data structure, and algorithms.
Added 22 mins ago
DC
Engineer, Data & Loyalty
Dover Corporation
Mississauga, ON
- Part-time
As a Staff Engineer, you will be a key member of a dynamic team of Software Engineering Developers who are tasked with development and maintenance of the point-of-sale software.…
Added 52 mins ago
Senior Network Monitoring Engineer
Rogers Communications
Montreal, QC
Lead advanced troubleshooting activities involving network traffic, monitoring infrastructure, tool integrations, data flows, and system performance.
Added 52 mins ago
In Service Project Engineer
Capgemini
Montreal, QC
Added 52 mins ago
Google Cloud Platform (GCP) Data Engineer
Capgemini
Toronto, ON
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Added 52 mins ago
Lead Software Engineer
Capgemini
Mississauga, ON
4. The software engineer builds skills and expertise of his or her software engineering discipline to reach standard software engineer skills expectations for the applicable role as defined…
Added 52 mins ago
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AKS Workstream Lead
Capgemini
Mississauga, ON
- $75 to $95 CAD / hour
Added 52 mins ago
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Ecolab Inc.
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- Full-time
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Added 1 hour ago
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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 1 hour ago
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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 1 hour ago
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Senior Network & Wireless Consultant (CCIE Wireless)
Compucom Staffing
Toronto, ON
- Full-time
Preferred certifications in Cisco CCNP Enterprise Wireless, Cisco Meraki Certification, Ekahau Certified Survey Engineer (ECSE), Cisco Security Certifications, Aruba Wireless…
Added 1 hour ago
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Digital Controls Technical Specialist
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Montreal, QC
- Full-time
…combines technical expertise with advanced analytics to create data-driven solutions that add real value for customers, communities, and the planet. Whether you're advancing AI in HVAC or…
Added 2 hours ago
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Data Engineer
Codd Labs
Toronto, ON
- Contract
Data Engineer (Contract, LLM Exposure a Plus)
Added 2 hours ago
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Senior Director, Pharmacy Experience and Transformation
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Toronto, ON
- Full-time
Lead a portfolio of key transformation initiatives, including Experience Insights & Analysis, Pharmacy Experience Program (PEP), Rx Delivery, AI Call Agent and Assisted Data Entry.
Added 2 hours ago
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Senior / Staff Software Engineer, Motion Planning
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Toronto, ON
- $158,000 to $269,000 USD / year
- Full-time
…by humans. If you would like more information about how your data is processed, please contact…
Added 2 hours ago
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Systems Validation Engineer - Data Center GPU
AMD
Markham, ON
- $84,000 to $126,000 USD / year
- Full-time
As a Systems Validation Engineer within the Datacenter and GPU Accelerated Processing division, you will execute on SOC and system/rack level validation, triage and debug for the AMD Data…
Added 2 hours ago
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Senior QA Automation – SDET
CGI
Toronto, ON
- Full-time
CGI is seeking an experienced Senior QA Automation Engineer to join our growing Quality Engineering team. This is a hands-on role for a quality engineering professional with strong…
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Cybersecurity Architect
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Mississauga, ON
- Full-time
Define security requirements for cloud identity, networking, workloads, storage, encryption, logging, monitoring, and data protection.
Added 3 hours ago
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Hardware Engineer
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Calgary, AB
- $90,000 to $100,000 CAD / year
- Full-time
…including nodes and related accessories such as charging racks, data-download solutions, communication interfaces, and USB connectivity. The operation builds approximately 100,000 nodes per…
Added 3 hours ago
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Principal Instrumentation Engineer
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- Full-time
The Lead Instrumentation & Controls Engineer provides technical leadership and project delivery oversight for instrumentation and control (I&C) engineering services in support of Worley and…
Added 3 hours ago
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Innovative Data Platform Solution Engineer
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Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
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Added 3 hours ago
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Lead Radio Frequency Engineer
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- Full-time
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Added 3 hours ago
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Cloud Platform Engineer
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Remote, Canada
- Full-time
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…Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organizations through complex digital…
Added 3 hours ago
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Forward Deployed Engineer
Leyton
Vancouver, BC · Greater Vancouver, BC
- €30,000 to €50,000 EUR / year
- Full-time
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Added 4 hours ago
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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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