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Added 1 month ago
Security Operations Engineer
Take-Two Interactive Software, Inc.
Toronto, ON
Take-Two Interactive Software, Inc. is a leading developer, publisher, and marketer of interactive entertainment for consumers around the globe. The Company develops and publishes products…
Added 2 months ago
H
Data DevOps Engineer
HSBC
Toronto, ON
- Full-time
Develop and maintain Python 3 (Python) applications and Application Programming Interfaces (APIs) to support data workflows and analytics
Added 2 months ago
AI & Agentic Engineer, Senior
Welcome to the Jungle
Montreal, QC
…will own your components end to end: the React front end, the Python or Node service behind it, the RAG pipeline feeding it, and the evaluations proving it…
Added 2 months ago
PI
AI Engineer (Agentic Workflows)
Protocase Inc./45Drives Ltd.
NS · Sydney, Nova Scotia
- Full-time
This role does not require deep expertise in training or fine-tuning models from scratch. It requires strong software engineering fundamentals, systems thinking, and fluency in the current…
Added 1 month ago
Associate/Cybersecurity & Incident Response (Forensic Services practice)
Charles River Associates
Toronto, ON
Programming, model building, and database administration (Python, T-SQL, VBA, Excel, C#, among others);
Added 2 months ago
B
Software Engineer - Continuous Delivery
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
…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…
Added 2 months ago
PA
AI Software Engineer, Product
Palona AI
Toronto, ON
- Full-time
We are looking for a product-focused AI Software Engineer to turn advances in AI into restaurant products that work reliably in the real world. You will build across customer-facing…
Added 2 months ago
B
Software Engineer - AI Developer Productivity
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
…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…
Added 2 months ago
PA
AI Infrastructure Engineer
Palona AI
Toronto, ON
- Full-time
We are looking for an Infrastructure Engineer who combines cloud and reliability depth with strong software engineering judgment. You will build and operate the platform beneath Palona's AI…
Added 2 months ago
PA
AI Modeling Engineer
Palona AI
Toronto, ON
- Full-time
Strong Python skills and experience with modern ML tooling such as PyTorch, JAX, Hugging Face, or equivalent systems
Added 2 months ago
A
Manager, Software Development
AlayaCare
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We are seeking a Manager, Software Development to join one of our Product teams. Reporting to the Associate Director, you will cultivate a strong team identity with personalized coaching…
Added 2 months ago
F
Senior Security Engineer
Forma.ai
Toronto, ON
- Full-time
Improve software supply-chain security, including build permissions, artifact integrity, dependency governance, and GitHub administration.
Added 2 months ago
Gen AI Developer
Capgemini
Mississauga, ON
- Design develop and deploy AIML and Generative AI solutions using Python
Added 2 months ago
H
Senior Firmware and Embedded Software Engineer
Humanoid
Burnaby, BC
- Full-time
We are looking for an Firmware and Embedded Software Engineer to design and develop the real-time software systems that control our humanoid robots.
Added 2 months ago
Manager, AI & Data Consulting
Welcome to the Jungle
Montreal, QC
Comprehensive Benefits: We offer a competitive benefits package that includes medical, dental, and vision coverage, a 401(k) plan with company matching, and paid parental leave.
Added 2 months ago
L
Staff/Sr. Staff Design Verification Engineer
Lightmatter
Toronto, ON
- Full-time
Comprehensive Health Care Plan (Medical, Dental & Vision)
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
B
Software Engineer - Observability
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
…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…
Added 2 months ago
M
Manager, Ecommerce Product Analytics
McAfee
Waterloo, ON
- Full-time
Advanced analytical skills with expert proficiency in SQL and experience analyzing large-scale site datasets. Proficient in Python for analysis and statistical work.
Added 2 months ago
EB
Senior Analyst, Credit Risk & Collections
EQ Bank
Toronto, ON
- Full-time
Proficiency with data management and reporting tools such as Python and SQL is required
Added 3 months ago
X
Data Scientist
Xsolla
Canada
- Full-time
Strong SQL and Python skills, with proven experience building ETL/ELT at scale.
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
2–4 years as a software developer or automation engineer who writes production-grade code regularly.
Added 2 months ago
FF
Manager, Security Operations
Forward Financing
Remote, Canada
- $172,000 to $237,000 USD / year
- Full-time
- Remote
Additionally, we offer a comprehensive total rewards package, including but not limited to: medical, dental, vision, a flexible time-off policy, paid parental leave, RRSP match, wellness…
Added 2 months ago
IS
Data Science ML/GenAI Engineer (FRE/ ENG)
Irth Solutions
Remote, Canada
- Full-time
- Remote
Expérience pratique en développement Python et en manipulation de données.
Added 2 months ago
AI
Senior Software Developer
ATS Industrial Automation
Woodbridge, ON
- Full-time
Design and implement SCADA systems using ATS Test software packages, or LabVIEW, or Python. This includes data collection from PLC, instrumentation, barcode scanners, vision systems, and…

Baseten

Software Engineer - AI Developer Productivity

Montreal, QC, Canada

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

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Job details

Pay: $165,000 to $330,000 USD / 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

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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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