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Added 2 months ago
AI
Senior Hardware Test Engineer
Aversan Inc.
Toronto, ON
- Full-time
We are currently seeking a qualified Senior Hardware Test Engineer to join our team.
Added 3 months ago
F
Expert Observability Engineer
Finastra
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Observability Engineer to lead and evolve our monitoring and observability capabilities across complex, hybrid environments. This role…
Added 2 months ago
KP
Full Stack Engineer (12 month contract)
Kruger Products | Produits Kruger
Canada
- Contract
As a Full Stack Engineer, you will play a vital role in developing innovative AI-powered through:
Added 2 months ago
LT
Product Designer I
LMI Technologies
Burnaby, BC
- $62,100 to $88,578 CAD / year
- Full-time
…3D machine vision solutions. This role requires a proactive engineer who can seamlessly execute tasks within larger projects, applying their technical skills to solve complex challenges…
Added 2 months ago
SM
Software Engineer
Sonus Microsystems
Vancouver, BC
- Full-time
…operator-independent patient monitoring, and we're looking for a Software Engineer to join our highly collaborative team of scientists, engineers, and innovators working at the intersection…
Added 2 months ago
PI
AI Engineer (Agentic Workflows)
Protocase Inc./45Drives Ltd.
Kitchener, ON
- Full-time
Position Title: AI Engineer (Agentic Workflows)
Added 2 months ago
S
Senior Database Engineer II
SurveyMonkey
Remote, Canada
- $95,200 to $137,000 CAD / year
- Full-time
- Remote
We are looking for an experienced database engineer to help SurveyMonkey evolve its data stores toward a cloud-native, globally distributed architecture. You are passionate about data, have…
Added 2 months ago
Senior, AI & Data Science
Welcome to the Jungle
Montreal, QC
Proficiency in Python (scikit-learn, XGBoost; PyTorch a strong plus) and solid SQL.
Added 2 months ago
Software Engineer, Full-Stack Applications, Associate Director (Python & React)
Fitch Group
Toronto, ON
…stakeholders. We are looking for a highly experienced software engineer with deep expertise in Python and React, strong software engineering fundamentals, and a passion for building…
Added 2 months ago
FG
Lead Software Engineer, Full-Stack Applications - Ratings Technology
Fitch Group
Toronto, ON
- $180,000 to $220,000 CAD / year
Lead Software Engineer, Full-Stack Applications – AI Fluent
Added 3 months ago
W
Senior Software Developer, LLM Infrastructure
Wealthsimple
Canada
- Full-time
As a Senior Software Engineer on the ML Infrastructure team, you will design and implement the core backend and infrastructure powering our AI systems. You will work closely with data…
Added 3 months ago
C
MAAS Data Center Infrastructure Engineer (Toronto area)
Canonical
Toronto, ON
- Full-time
We are hiring a Data Center Infrastructure Engineer to build and maintain MAAS test labs. As a Data Center Infrastructure Engineer in Canonical, you will be responsible for the day-to-day…
Added 2 months ago
TI
Data Engineer (DevOps)
Tecsys Inc.
Montreal, QC
- Full-time
We're looking for a Data Platform Engineer (DevOps) to join our TecsysIQ Data & AI team. This is a hybrid role that builds and operates the cloud data platform powering our analytics and AI…
Added 2 months ago
H
Data DevOps Engineer
HSBC
Toronto, ON
- Full-time
We are looking for a passionate and driven Data Development and Operations (Data DevOps) Engineer to join our CTO Analytics Technology team. In this role, you will work on a…
Added 2 months ago
AI & Agentic Engineer, Senior
Welcome to the Jungle
Montreal, QC
Examples: Claude Certified Developer – Foundations (Anthropic), Google Cloud Professional Machine Learning Engineer, Google Cloud Generative AI Leader, Microsoft Azure AI Engineer…
Added 2 months ago
M(
Applied AI Engineer
MaintainX (An Autodesk Company)
Remote, Canada
- $153,000 to $224,000 CAD / year
- Full-time
- Remote
Added 2 months ago
PI
AI Engineer (Agentic Workflows)
Protocase Inc./45Drives Ltd.
NS · Sydney, Nova Scotia
- Full-time
Position Title: AI Engineer (Agentic Workflows)
Added 2 months ago
TR
Lead Cloud Platform Engineer, Azure
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Working proficiency in at least one programming language (Python, Go, C#, or similar) plus PowerShell or Azure CLI for automation.
Added 2 months ago
T
Senior/Staff Software Engineer, Data Platform
Terminal
Toronto, ON
- $200,000 to $295,000 CAD / year
- Full-time
We're looking for an engineer who thrives on building scalable platforms and enjoys tackling hard data and backend challenges. This isn't a data engineering role: you'll design and optimize…
Added 2 months ago
B
Software Engineer - Continuous Delivery
Baseten
Montreal, QC
- $165,000 to $330,000 CAD / 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 CAD / 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
C
Senior Software Engineer
Clutch
Toronto, ON
- $160,000 to $200,000 CAD / year
- Full-time
Continuously improve the systems, tools, and developer experience that power Clutch.
Added 2 months ago
F
Senior Security Engineer
Forma.ai
Toronto, ON
- $160,000 to $190,000 CAD / year
- Full-time
As a Senior Security Engineer, you will be a hands-on technical leader strengthening security across Forma's application, cloud infrastructure, development lifecycle, internal systems, and…
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…

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

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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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