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Added 11 mins ago
Senior Data Platform Engineer
Project X
Toronto, ON
Full-time
We are looking for a Senior Data Platform Engineer to help an enterprise client evolve its data platform. The environment runs on AWS and includes Snowflake, Matillion and Salesforce. The…
Added 40 mins ago
Senior Software Engineer: Mobile & Full Stack
Ethereal Music Group
Vancouver, BC · Greater Vancouver Metropolitan Area
$125,000 to $160,000 CAD / year
Full-time
We’re looking for a Senior Software Engineer - Mobile & Full Stack who can take a problem from an initial requirement through technical design, implementation, release, and production…
Added 2 hours ago
Software Development Engineer , Customer Service Technologies
Amazon
Vancouver, BC
We are seeking a Software Development Engineer to join the engineering team building the Network Control Center (NCC) - an AI-native system that will transform how Amazon detects, responds…
Added 3 hours ago
Senior Security Operations Engineer (Talent pool building)
League Inc.
Toronto, ON
…by building or buying tools that we can integrate into our platform to ultimately make it easier for our engineers to do the right thing. As a Senior SecOps Engineer you will care deeply…
Added 4 hours ago
Security Engineer (Bangkok Based, Relocation Support)
Agoda
Toronto, ON
Full-time
We are looking for a hands on Senior Security Engineer to secure our cloud and platform environments. This role works closely with engineering teams and focuses on building, reviewing, and…
Added 4 hours ago
Senior Software Engineer – DevTest / QA Automation
EngRadar
Toronto, ON
Full-time
Kaseya is seeking a Senior Software Engineer – DevTest / QA Automation to design, build, and maintain robust automated testing capabilities across enterprise software platforms.
Added 4 hours ago
Senior Software Engineer
Zodiac Solutions, Inc
Montreal, QC
Full-time
We are seeking a highly motivated and experienced Software Engineer with strong expertise in Core Java, Apache Spark, Python, SQL, and Linux to design, develop, and support scalable…
Added 5 hours ago
Senior Software Engineer (Full Stack)
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
As a Senior Full Stack Software Engineer in Agent Factory, you’ll help build the user-facing and platform experiences that bring Workday’s AI agents to life. Working within a small,…
Added 6 hours ago
Senior Integration Architect
Infotree Global Solutions
Toronto, ON
Contract
Expert-level Senior Integration Developer with Intelligent Automation experience to design, build, and govern mission-critical enterprise automation and integration solutions on Workato and…
Added 6 hours ago
Staff AI Builder
Robots & Pencils
Canada
Full-time
Support deployment, monitoring, and production troubleshooting in cloud-native environments (AWS, Docker), with guidance from senior engineers where needed
Added 7 hours ago
Cloud Engineering Engineer 2
EPITEC
Ottawa, ON
Contract
TOP is an enterprise platform that integrates vehicle telemetry, diagnostic information, engineering artifacts, manufacturing evidence, service data, and software lifecycle signals to…
Added 7 hours ago
Senior Data Engineer (Databricks)
Yochana
Toronto, ON
Contract
8+ years of experience in Data Engineering and Data Platform development.
Added 7 hours ago
AI Engineer
Arkion Identity Systems
Toronto, ON · Greater Toronto Area, Canada
Full-time
You will work closely with the Software Architect, Rust Backend Engineers, Senior Frontend Engineer, and Cloud & Deployment Engineer to embed AI into both: our product (NHI / security…
Added 8 hours ago
Cloud Engineering Senior Engineer
EPITEC
Ottawa, ON
Contract
This role will work within a cross-functional Agile team to build cloud-native services, data integrations, user-facing capabilities, and platform observability. The developer will receive…
Added 8 hours ago
Senior DevOps Engineer (GitHub, ADO)
Yochana
Toronto, ON
Contract
8+ years of experience in DevOps, Cloud Engineering, Platform Engineering, or Infrastructure Automation.
Added 9 hours ago
Senior Software Engineer - Applied AI
Urban Ridge Supplies
Toronto, ON
Full-time
With rapid revenue growth and expanding enterprise demand, we’re scaling our engineering team to support increasingly complex, data-intensive workflows across our platform.
Added 9 hours ago
Senior AI Engineer – Agentic AI Platform, LLM & GraphRAG
Urban Ridge Supplies
Toronto, ON
Full-time
We are seeking an experienced and highly motivated Senior AI Engineer to join the Technology Strategy team supporting transformative AI initiatives. This role is focused on designing,…
Added 9 hours ago
Senior AI Engineer, IT Solutions 1
Urban Ridge Supplies
Toronto, ON
Full-time
We are seeking a highly motivated and technically proficient AI Engineer to join our growing Data & Analytics team. In this role, you will be a key liaison between business stakeholders and…
Added 9 hours ago
Senior AI Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
CI Financial is seeking an experienced and technically strong Senior AI Engineer to join our Data, AI & Analytics (DNA) team. This role focuses on the applied use of Generative AI and…
Added 9 hours ago
AI Solutions Architect (Senior and Principal)
Urban Ridge Supplies
Toronto, ON
Full-time
As a Senior or Principal engineer, you'll bring technical leadership to complex engagements, influence solution direction, mentor teammates, and help shape RAVL's growing AI engineering…
Added 9 hours ago
Senior Forward Deployed Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
We are seeking a Senior Forward Deployed Engineer to join our ProServe team and work directly with strategic customers to turn business problems into production AI and data systems. This is…
Added 9 hours ago
Senior Software Engineer (Conductor)
Urban Ridge Supplies
Toronto, ON
Full-time
As a Senior Software Engineer, you are a full-stack software engineer who works directly alongside healthcare providers to get Conductor live and to make it matter. You take a signed…
Added 9 hours ago
Lead Software Engineer, AI & Emerging Tech
Urban Ridge Supplies
Toronto, ON
Full-time
As a Lead Engineer for AI & Emerging Tech, you will drive AI platform enablement across the enterprise, you will drive the design, development, and deployment of next-generation tech and…
Added 9 hours ago
Senior Software Engineer – DevTest / QA Automation
Kaseya
Toronto, ON
Full-time
Kaseya is seeking a Senior Software Engineer – DevTest / QA Automation to design, build, and maintain robust automated testing capabilities across enterprise software platforms.
Added 10 hours ago
Senior Software Engineer – DevTest / QA Automation
Kaseya Careers
Toronto, ON
Kaseya is seeking a Senior Software Engineer – DevTest / QA Automation to design, build, and maintain robust automated testing capabilities across enterprise software platforms.

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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