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Added 2 months ago
PI
AI Engineer (Agentic Workflows)
Protocase Inc./45Drives Ltd.
NS · Sydney, Nova Scotia
- Full-time
Collaborate with product, operations, and subject-matter stakeholders to identify high-value automation and agentic opportunities.
Added 2 months ago
Associate/Cybersecurity & Incident Response (Forensic Services practice)
Charles River Associates
Toronto, ON
Providing technical assessment/audit and guidance to clients on the adequacy of cyber security controls in accordance with cybersecurity frameworks that are included in one or more of the…
Added 2 months ago
C
Senior Data Platform Engineering Specialist
CGI
Toronto, ON
- Full-time
…of CGI's Data Platform Engineering practice, collaborating with teammates, contributing to reusable data assets, and continuously developing your technical and consulting…
Added 2 months ago
C
Senior Full Stack Developer
CGI
Toronto, ON
- Full-time
Backend Development: Build high-performance backend systems, microservices, and business logic using modern frameworks (such as Java Spring Boot, .NET 8 / ASP.NET Core, Node.js/NestJS,…
Added 2 months ago
PE
Senior Embedded Linux Developer (Audio Platforms)
Paradigm Electronics Inc.
Ottawa, ON
- $110,000 to $145,000 CAD / year
- Full-time
Multimedia Frameworks: Strong experience with GStreamer and/or PipeWire. You understand how to construct and debug complex graphs, manage buffer negotiation, and integrate proprietary…
Added 2 months ago
B
Software Engineer - AI Developer Productivity
Baseten
Montreal, QC
- $165,000 to $330,000 CAD / year
- Full-time
Agents in the SDLC - Automation where agents earn their keep: PR review triage, test gap-filling, incident context assembly, migrations and refactors, codebase Q&A. Integrating agents into…
Added 2 months ago
P
Software Developer - Talent Community
Portfolio+
Whitchurch-Stouffville, ON
- Full-time
As a Software Developer with Portfolio+, you will play a key role in shaping and enhancing our financial software solutions, empowering customers to achieve their goals. Leveraging your…
Added 2 months ago
J
Manager, Credit Risk
Jobber
Remote, Canada
- Full-time
- Remote
Proficiency in SQL and Python (or a similar language), enough to independently pull, analyze, and interrogate data and to collaborate credibly with Data Science and Analytics.
Added 2 months ago
V
Machine Learning Engineer Lead
Vancity
Vancouver, BC · Toronto, ON
- Full-time
Developing production-quality Python code, APIs, automation workflows, and machine learning services to integrate ML capabilities into business applications and processes
Added 2 months ago
PX
Data Scientist (AI/ML)
Project X
Toronto, ON
- Full-time
Proficiency in Python and SQL, with experience in data wrangling, statistical analysis, and model development
Added 2 months ago
FB
Analyst, Data Analytics- Retail Financing (Fixed Term Contract)
Fairstone Bank
London, ON · Toronto, ON
- Full-time
Together, we are the leading alternative lending bank in Canada. With a diverse suite of products - residential and commercial mortgages, consumer deposits and GICs, credit cards, retail…
Added 2 months ago
BC
Sr. Site Reliability Engineer
Blackpoint Cyber
Remote, Canada
- $155,000 to $185,000 CAD / year
- Full-time
- Remote
…our cloud and on-premise infrastructure and CI/CD pipelines, with a focus on automation, scalability, and performance. You'll work across cloud platform administration, container…
Added 2 months ago
SD
DevOps Engineer - Senior
Symbiotic Digital
ON · Downtown Toronto (CN Tower / King and Spadina / Railway Lands / Harbourfront West / Bathurst Quay / South Niagara / YTZ), Ontario
- Contract
with build and automation tools including Git, Ansible, CloudFormation,
Added 2 months ago
XR
AI Platform & Machine Learning Engineer
XYZ Reality
Remote, Canada
- Full-time
- Remote
Strong Python development skills and hands-on experience with PyTorch.
Added 2 months ago
SG
Senior Machine Learning Engineer
Scientific Games
Toronto, ON · HR Toronto - Canada
- Full-time
…across batch and real-time use cases. You will partner closely with Staff MLEs, Data Scientists, and platform stakeholders to establish the first generation of reusable ML infrastructure,…
Added 2 months ago
Software Engineer
Capgemini
Mississauga, ON
We are seeking an experienced Software Developer to join a collaborative Agile development team. The successful candidate will be responsible for designing, developing, testing, and…
Added 2 months ago
KS
Quality Assurance Team Lead
Kumaran Systems
Toronto, ON
- Full-time
Develop and maintain automation frameworks using Playwright with Python.
Added 2 months ago
E
Senior SDET (IC4) - Senior Software Engineer in Test
Emburse
Toronto, ON
- Full-time
Experience with front-end and back-end automation frameworks (Selenium, QA Robot, Playwright, Pytest, RestAssured, etc…)
Added 2 months ago
E
SDET III (IC3) - Software Engineer in Test III
Emburse
Toronto, ON
- Full-time
Experience with front-end and back-end automation frameworks (Selenium, QA Robot, Playwright, Pytest, RestAssured, etc…)
Added 2 months ago
HT
Lead AI Test Automation Architect
High Tech Genesis
Canada
- Contract
Seeking a Lead AI Test Automation Architect / Senior SDET to design and lead AI-powered Quality Engineering and test automation solutions. The role requires strong automation architecture,…
Added 2 months ago
S
Senior Quality Assurance Specialist
Synechron
Toronto, ON · Greater Toronto Area, Canada
- $120,000 to $125,000 CAD / year
- Full-time
Build AI-powered test generation and regression triage using LLMs, AI coding assistants (Copilot, Windsurf/Cascade), and agentic frameworks - shipping automation at developer velocity.
Added 2 months ago
CI
Senior Quality Engineer, Real Assets, Alternative Investment Technology
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
Build scalable automation solutions using Python and modern testing tools such as Playwright, with a focus on maintainable framework design, CI/CD integration, and reducing dependency on…
Added 3 months ago
SI
Staff Silicon Validation Software Engineer - 17309
Synopsys Inc
Mississauga, ON
- Full-time
…environments. You are passionate about building software tools and automation frameworks that drive silicon validation, system-level debug, and characterization…
Added 2 months ago
M
Senior IT Analyst
MNA
Edmonton, AB
- Full-time
Develop and maintain automation scripts and technical solutions using PowerShell, Python, SQL, or other programming languages to improve efficiency and reduce manual processes.
Added 2 months ago
Senior Director, Engineering - Corporates, Financial Institutions & Sovereigns
Fitch Group
Toronto, ON
…workflows, ML models embedded in analytical processes, agentic automation, or AI-augmented developer tooling, bring the depth to evaluate, architect, and champion these capabilities with…

Baseten

Software Engineer - AI Developer Productivity

Montreal, QC, Canada

$165,000 to $330,000 CAD / year · Full-time

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Job details

Pay: $165,000 to $330,000 CAD / year
Job type: Full-time
Experience: Have 4+ years of relevant industry experience building and enabling AI native SDLC
Posting language: English
Posted: Aug 11, 2026

Original job description

About Baseten

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.

THE ROLE

Baseten's engineers want to work in an AI-first way. What's missing isn't enthusiasm - it's the platform underneath it. Today everyone assembles their own agent config, context files, and MCP servers, so the good patterns stay trapped in individual setups instead of becoming defaults everyone inherits.

You'll build that platform: the agent configurations tuned to our monorepo, the context and tooling layer that makes agents competent in our codebase, the evals that tell us which approaches actually work, and the rollout mechanics that get a new engineer productive with agents in week one.

You are not here to mandate how engineers use AI - you're here to make the good path the easy path. Success looks like teams adopting what you build because it beats what they'd cobble together themselves, not because a policy requires it. Platform engineer, not AI evangelist. Ship infrastructure, measure it, kill what doesn't work, let adoption be the referee.

The playbook for AI-first SDLC doesn't exist at any company yet. You'll write ours.

What You'll Build

Agent substrate - Repo-level context infrastructure that makes agents competent in our codebase (CLAUDE.md/AGENTS.md conventions, architecture and domain context, and the tooling to keep it accurate as code moves). Internal MCP servers giving agents scoped access to CI, observability, incident tooling, deployment state, and docs. Shared skills, subagents, and hooks that encode Baseten workflows. Sandboxed environments where agents can build and test safely.

The golden path - Project templates and onboarding that ship with AI tooling configured and working. Self-serve infrastructure so teams build their own agents without you as the bottleneck. Gateway, auth, cost controls, and audit logging for internal model access.

The feedback loop - Eval harnesses that answer "is this config better than that one" against real Baseten tasks, not vibes. Instrumentation of AI tool usage and its downstream effects on cycle time, review latency, and change failure rate. Honest reporting, including on what you built that didn't pan out.

Agents in the SDLC - Automation where agents earn their keep: PR review triage, test gap-filling, incident context assembly, migrations and refactors, codebase Q&A. Integrating agents into CI/CD with guardrails that make it trustworthy.

Responsibilities

Own the internal AI developer platform end to end - architecture, build, rollout, operation, measurement.
Evaluate and integrate third-party AI coding tools (Claude Code, Cursor, Codex, and whatever ships next quarter), and build the context layer that makes them work against our monorepo.
Build frameworks that let other engineers create their own agents without deep LLM expertise.
Establish the evaluation practice for AI-assisted development at Baseten, and use it to drive investment decisions.
Drive adoption through developer experience - good defaults, clear docs, low friction - not mandate.
Embed with teams to find where AI genuinely unblocks them, then generalize those wins into platform capabilities.
Own the safety layer: permissions, secrets handling, audit trails, cost management.

Requirements

Have 4+ years of relevant industry experience building and enabling AI native SDLC
Strong proficiency in Python and/or Go, building tools other engineers depend on daily.
Hands-on experience with LLMs and agent frameworks - tool calling, MCP, context management, orchestration, failure handling. You've shipped something agentic that real people used, not just prototyped.
Deep personal fluency with AI coding tools and well-formed opinions about where they break down.
Platform mindset: you build for adoption and self-service, treat internal engineers as customers, and would rather ship a good default than write a style guide.
Developer tooling, CI/CD, and Kubernetes/Docker fundamentals.
Comfort with ambiguity - this space invalidates its own best practices every few months.
Excellent written communication. Much of your leverage is docs, templates, and examples that scale beyond conversations you're in.

Benefits

Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Compensation Range: $165K - $330K

Apply About employer

More about this job

Responsibilities

Build and own the internal AI developer platform to optimize the software development lifecycle through agentic tooling and infrastructure. Create repo-level context layers, MCP servers, and evaluation harnesses to improve engineer productivity and AI adoption.

Requirements

Requires 4+ years of industry experience building AI-native SDLC tools with strong proficiency in Python or Go. Must have hands-on experience shipping agentic systems and a deep understanding of LLM orchestration and platform engineering.

Skills

Python
Go
LLMs
Agent Frameworks
MCP
Context Management
CI/CD
Kubernetes
Docker
Platform Engineering
Developer Tooling
Orchestration
API Design
Technical Documentation
Evaluation Frameworks
Infrastructure as Code

Benefits

Competitive compensation
Meaningful equity
Medical insurance
Dental insurance
Vision insurance
Flexible PTO
Winter Break
Paid parental leave
Fertility and family-building stipend
401(k)

Visa sponsorship

Not detected in the job text

Keywords

AI Developer Productivity
LLM
Agentic Workflows
MCP Servers
Monorepo
SDLC
Python
Go
Kubernetes
Docker
CI/CD
Claude Code
Cursor
Codex
Evaluation Harnesses
Platform Engineering
Developer Experience
Infrastructure
Tool Calling
Context Management
Audit Logging
Cost Controls
PR Review Triage
Observability
Incident Tooling
Software Engineering
Machine Learning
AI-First
Automation
Developer Tooling

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