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D
Advisory Agent, Member and Client Experience
Desjardins
Quebec, QC · Caisse Desjardins Des Rivières de Québec
- Full-time
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CE
Geologist
Cenovus Energy
Calgary, AB
- Full-time
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L
Specialist - Software Engineering
LTM
ON · Ontario, Canada
- $107,720 USD / year
- Full-time
Work closely with frontend and cloud engineering teams to ensure seamless integration
Added 1 min ago
GI
Python Developer
G-FORCE IT SERVICES INC
ON · Ontario, Canada
- Full-time
We are looking for a skilled Python Developer with 3–5 years of experience in developing, implementing, and maintaining scalable applications. The ideal candidate should have strong Python…
Added 1 min ago
SI
Salesforce Marketing Cloud Developer - Strong Automation Studio, Email Studio and AMPscript
Smart IT Frame LLC
ON · Ontario, Canada
- Contract
Job Title: Salesforce Marketing Cloud Developer - Strong Automation Studio, Email Studio and AMPscript
Added 1 min ago
UO
Electro-Optical Systems Engineer
University of Alaska Fairbanks Petroleum Engineering
Engineer, BC
- Full-time
…you will lead and support the architecture, design, modeling, integration, and calibration of advanced visible and infrared (EO/IR) payloads for military and civil space applications. The…
Added 1 min ago
TR
Salesforce Financial Services Cloud (FSC) Developer
Top Recruitment
Toronto, ON
- $60 CAD / hour
- Contract
Integration Engineering: Build and support integrations between Salesforce and core banking, CRM, and downstream enterprise systems using REST/SOAP APIs, Platform Events, and middleware…
Added 1 min ago
SI
Full Stack Develope
Spait Infotech
Canada
- Full-time
Perform unit testing, integration testing, and code reviews.
Added 1 min ago
CW
Medical, Health, Wellness Experts
CARAVAN Wellness
Quebec, QC
- Contract
…comprehensive programs. Its platform offers easy licensing, seamless integration via API and white-label options, and engagement tools backed by AI, all optimized for modern digital…
Added 1 min ago
KG
Enterprise Data Architect – Snowflake & Cortex
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
Data Engineering & Integration: Architect data ingestion, integration, batch, streaming, and data engineering solutions supporting enterprise analytics and AI use cases.
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Lead Consultant - IFS Cloud PSO functional
Infosys
Mississauga, ON
- $96,620 to $109,129 CAD / year
- Full-time
Should also understand the FSM processes/technologies and integration of the same with other downstream systems.
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PG
Commercial Marketing Manager
Purity Gas
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Oversee marketing tech stack, marketing automation, CRM integration, and data analytics infrastructure to track pipeline contribution, campaign performance, and revenue impact.
Added 1 min ago
KG
Salesforce Tech Lead
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Design scalable data models, security frameworks, and integration architectures.
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ZS
SAP Integration Lead
Zodiac Solutions, Inc
Toronto, ON
- Full-time
The Integration Lead will design and implement integration solutions and Robotic Process Automation (RPA) for SAP payroll solutions, connecting SAP payroll systems with external systems…
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FI
QA Specialist (SQL, ETL)
Flexstaf I.T. Inc.
Toronto, ON · Greater Toronto Area, Canada
- Contract
…Interface (GUI) environments, including the execution of systems integration tests, specialized tests, and user acceptance testing (e.g., stress…
Added 1 min ago
GD
Senior Integrations Engineer
Globalfaces Direct
Toronto, ON · North York, ON
- $95,000 to $115,000 CAD / year
- Full-time
Integration Architecture & Delivery: Own end-to-end integration lifecycles (payment processors, CRMs, third-party systems), including requirements gathering, architecture, backend API…
Added 1 min ago
KG
Data Governance Lead
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Ability to integrate governance, quality, lineage and observability controls across cloud, lakehouse, data warehouse, data integration and analytics ecosystems.
Added 1 min ago
SC
Analyste d'affaires système (BSA) Guidewire ( Senior)
SII Canada
Montreal, QC
- Full-time
Connaissances avancées des concepts d’intégration applicative et des technologies REST/SOAP, XML et JSON.
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H
Tester (Point-of-Sale)
HCLTech
Vancouver, BC
- $70,000 to $80,000 CAD / year
- Full-time
Understands the concepts of Continuous Integration and Continuous Deployment and their significance
Added 1 min ago
Human Resources Coordinator
Blue Moon Metals
Toronto, ON
Effectively manage the systems integration process for new hires, including validation of set-up details for SAP SuccessFactors set-up, corporate travel, group benefits providers and brokers
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C
Learning Technology Specialist
CAE
Halifax, NS · Ottawa, ON
- Full-time
Support successful integration of learning technologies and data sources.
Added 1 min ago
RC
Senior Building Performance Engineer
Randstad Canada
Vancouver, BC
- $125,000 to $160,000 CAD / year
- Full-time
Evaluate electrification opportunities, including heat pumps, geothermal systems, thermal storage, and renewable energy integration.
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SE
Production Design Drafter: 6-month Contract
SFC Energy North America
Calgary, AB
- Full-time
…towards Electrical Control panel design, Product Development, and Integration Packaging under the SFC…
Added 1 min ago
NS
Senior Data Architect
Nimble Science
Calgary, AB
- Full-time
Strong knowledge of ETL/ELT processes and enterprise data integration practices.
Added 16 mins ago
A
Responsable des têtes de versions avion / Version Manager (CPD VM)
Airbus
Mirabel, QC · Montreal, QC
- Full-time
Favoriser l'intégration et la consolidation des requêtes de changements impactant les têtes de version et la flotte ;

Robots and Pencils

Staff AI Developer - Vancouver

Vancouver, BC, Canada

The salary range for this role is $ $165,604 - $228,491 USD.

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Job details

Pay: The salary range for this role is $ $165,604 - $228,491 USD.
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 3, 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
Legally authorized to work in Canada and eligible to secure immediate U.S. non-immigrant work authorization (e.g., TN status under USMCA) for mandatory weekly on-site client delivery (3 days/week) in the United States.

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

The below range reflects the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. The salary range for this role is $ $165,604 - $228,491 USD.  We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.

An offer of employment may be conditional upon successful completion of a background check in accordance with local legislation and our candidate privacy notice. Your current employer will not be contacted without your permission.  We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.

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More about this job

Responsibilities

Design, build, and operate production AI/ML systems, including agentic workflows, RAG pipelines, evaluation and observability, and reliable AWS-based services. Lead architecture and technical practices, collaborate across product and engineering teams, mentor engineers, and own features and releases through production support.

Requirements

Requires 6+ years of software engineering experience, including production GenAI/LLM systems, with hands-on expertise in agentic AI, RAG, evaluation, observability, and prompt engineering. Candidates need strong Python and Node.js skills, experience with AWS services and production reliability patterns, and authorization to work in Canada plus eligibility for immediate U.S. non-immigrant work authorization.

Skills

Agentic AI
Generative AI
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
System Architecture

Benefits

Paid Time Off
Medical Insurance
Dental Insurance
Vision Insurance
401(k)

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
Chunking
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

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