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Added 8 mins ago
F
Senior / Staff Engineer, Applied AI (Float Intelligence)
Float
Remote, Canada
- Full-time
- Remote
…complexity and unlock new opportunities. Through our innovative platform, Float enables businesses to streamline financial operations and optimize cash flow, so they can focus on what…
Added 8 mins ago
R
Associate, Reporting & Control
RBC
Toronto, ON
- Full-time
Added 8 mins ago
P
Transaction Services Manager  - Financial Services (Bilingual FR/EN)
PwC
Vancouver, BC · Toronto, ON · Montreal, QC
- Full-time
…working capital and analysis of debt and debt-like items. Data analytics tools will be utilized to drive efficiencies in data processing and analysis, and to present data…
Added 8 mins ago
T
Manager, Issues Management (Corporate Operational Risk Management) (5660)
TD
Toronto, ON
- Full-time
Added 8 mins ago
T
Product Owner - Small Business Insurance
TD
Markham, ON · Montreal, QC
- Full-time
…Business Insurance capabilities for the Guidewire Policy & Billing platform. The role manages the product backlog, represents the voice of the customer, and works closely with…
Added 8 mins ago
VI
Staff Information Security Engineer - Threat Detection & Response
Visier Inc.
Vancouver, BC
- Full-time
…the moments that matter most. As the market leader in people analytics, workforce planning, organizational design, and manager effectiveness solutions, we fuel smarter decision-making for…
Added 9 mins ago
Q
Senior Revenue Enablement Specialist, Digital
Quadient
Markham, ON
- $90,000 to $100,000 CAD / year
- Full-time
Added 9 mins ago
TI
Containerization Security Engineer
Themesoft Inc.
Toronto, ON
- Contract
Design, deploy and manage containerized environments using Kubernetes, GKE (Google Kubernetes Engine), AKS, or similar platform.
Added 23 mins ago
KG
Enterprise Data Architect – Snowflake & Cortex
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
The Enterprise Data Architect is responsible for defining end-to-end architecture for AWS Snowflake-based data, analytics, and AI platforms. Operating at the intersection of data…
Added 23 mins ago
RS
Product Owner
Radiant Systems Solutions, Inc
AB · Edmonton, AB
- Contract
…Management, Digital, Regulatory, Legal and Compliance, Finance, Analytics, Change Management, Quality Assurance, SAP delivery, and external vendors as required by the team…
Added 23 mins ago
FT
Senior Product Manager
Factor Talent
Toronto, ON · Greater Toronto Area, Canada
- $160,000 to $200,000 CAD / year
- Full-time
We are the revenue maximization platform behind boat tours, theme parks, zoos, and other attractions and experience operators. Operators run their businesses on us: ticketing, capacity,…
Added 23 mins ago
GD
Senior Integrations Engineer
Globalfaces Direct
Toronto, ON · North York, ON
- $95,000 to $115,000 CAD / year
- Full-time
…reliability of secure, PCI-compliant integrations connecting our platform to partners and third-party…
Added 23 mins 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 23 mins ago
SC
Analyste d'affaires système (BSA) Guidewire ( Senior)
SII Canada
Montreal, QC
- Full-time
Added 23 mins ago
XS
Director of Growth
XA Security
Calgary, AB
- Full-time
We also built our own operations platform. Digital XA runs our scheduling, timekeeping, payroll, invoicing and client work, so when we say we can staff something, we can show you how.
Added 23 mins ago
NS
Senior Data Architect
Nimble Science
Calgary, AB
- Full-time
As a Data Architect you will play a key role in developing the architecture and platform to collect and build high-quality data sets for use in downstream analysis. Reporting to the VP Data…
Added 38 mins ago
FS
Senior Analyst, Quality Assurance Products
Four Seasons Hotels and Resorts
Toronto, ON · Four Seasons Corporate Headquarters Toronto
- Full-time
Added 38 mins ago
Senior Manager, Business Banking Advisory - Tangerine
Scotiabank
Toronto, ON
Reporting to the Director, Product, Platform and Proposition, Tangerine, Business, the role will work closely with the Managing Director, Tangerine Business, and cross-functional partners…
Added 38 mins ago
Principal Data Engineer
Scotiabank
Toronto, ON
Leads and builds out a new data engineering platform for Tangerine to enable business analytics and production AI and ML applications, in support of business strategies and objectives.…
Added 53 mins ago
P
Fullstack .NET Engineer | igaming | Base + Benefits
Pentasia
Toronto, ON
- Full-time
My client is seeking a highly skilled Senior Full Stack .NET Developer to join a fast-paced technology team responsible for developing and enhancing mission-critical platforms. This role…
Added 53 mins ago
UH
Software Developer
University Health Network
Toronto, ON
- Full-time
Integrate advanced data analytics and AI capabilities into the platform to facilitate the prediction of drug-like molecules for pre-defined protein targets.
Added 53 mins ago
Senior Technical Lead
University of Toronto
Toronto, ON
Added 1 hour ago
B
Software Engineer, Frontend and Mobile
Bree
Toronto, ON
- Full-time
Bree is a consumer finance platform that brings better, faster, and cheaper financial services to over half the Canadian population who live paycheque to paycheque. We operate in a huge,…
Added 1 hour ago
CI
CRM Developer and Data Analyst
Caldwell Investment Management Ltd.
Toronto, ON
- Full-time
This is a rare opportunity to join a leading asset management firm as a CRM Developer and Data Analyst at Caldwell Investment Management. This is a critical role that involves the…
Added 1 hour ago
B
Business Intelligence Specialist
Bevertec
Toronto, ON
- Contract
…the legacy data lake ecosystem supporting business-critical analytics, batch processing, and reporting workloads while facilitating a seamless transition to a modern Microsoft Azure and…

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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