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Added 3 days ago
KG
Senior Data AI Engineer (GenAI & LLM)
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
Position: Senior Data AI Engineer (GenAI & LLM Data Platform)
Added 3 days ago
CL
Senior Cloud DevOps Engineer
Charger Logistics Inc.
Brampton, ON
- Full-time
The Senior Cloud DevOps Engineer will design and implement enterprise-scale cloud infrastructure, drive automation strategies, and mentor engineering teams while architecting…
Added 3 days ago
AS
GenAI Prompt Engineer
Axelon Services Corporation
Montreal, QC
- $65.52 USD / hour
- Other
Added 3 days ago
Staff Machine Learning Engineer
Twilio
ON
Join the team as Twilio’s next Staff Machine Learning Engineer on Twilio’s AI/ML Platform team.
Added 3 days ago
T
Google Big Data Platform Engineer II
TD
Toronto, ON
- Full-time
We are seeking a multi-cloud platform engineer with experience in Google Cloud to work across our engineering teams and business partners. The ideal candidate will have previous public…
Added 3 days ago
SI
Artificial Intelligence Engineer
Smart IT Frame LLC
Halifax, NS
- Contract
We are looking for an experienced AI Platform Engineer to design, build, and maintain scalable infrastructure and platforms that support AI/ML workloads, Generative AI applications, and…
Added 3 days ago
C
Senior AI Engineer
Chubb
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are looking for an AI Engineer who has shipped ML and LLM systems, built quality and observability tooling around them in production, and is ready to go deeper on that problem at scale.…
Added 3 days ago
HR
AI Forward Deployed Engineer - CRM & Marketing
Hard Rock Digital
Remote, Canada
- Full-time
- Remote
We're hiring an AI Forward Deployed Engineer to build agentic and generative AI for CRM and Marketing. You'll ship production features, not prototypes, that help us acquire, engage, and…
Added 3 days ago
AT
AI Engineer
Altitude Technology Solutions Inc
Toronto, ON
- Contract
…orchestration, policy enforcement) following MCP protocol. Engineer robust guardrails for safety, compliance, and least-privilege…
Added 3 days ago
Q
Senior Conversational Bot Engineer
Quantiphi
Toronto, ON
- Full-time
Added 3 days ago
H
Machine Learning Engineer
Hays
Toronto, ON
- Contract
We’re looking for a hands-on Machine Learning Engineer to develop and improve ML and deep learning models that power personalization across our retail ecosystem.
Added 3 days ago
B
Software Engineer - Partner Platform
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
You don't need a previous partner engineering title. We want an engineer who enjoys working directly with another company's technical team and carrying the resulting product decisions into…
Added 3 days ago
B
Software Engineer - Identity & Authorization
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
Added 3 days ago
B
Software Engineer - Identity & Authorization
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
Added 3 days ago
B
Software Engineer - Partner Platform
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
You don't need a previous partner engineering title. We want an engineer who enjoys working directly with another company's technical team and carrying the resulting product decisions into…
Added 3 days ago
RB
Lead Agentic AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Added 3 days ago
AI
Observability Engineer
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Halifax, NS
- Full-time
Senior Observability Engineer – Kubernetes, Prometheus, Grafana & Thanos
Added 3 days ago
I
Resiliency Architect
Intact
Montreal, QC
- Full-time
Standardize blue/green deployment architecture and engineer safe traffic shifting, health gates, progressive cutovers, rollback, and zero-downtime data migrations.
Added 3 days ago
BB
Data Engineer
Breathaplasta by Adaptavate
Montreal, QC · Urban agglomeration of Montreal, QC
- Full-time
To succeed in our mission, we are looking for a Data Engineer who will work with our technical teams to translate raw data into information that drives business decision making. This…
Added 3 days ago
S
Senior Full Stack Gen AI Engineer/Technical Engagement Manager
Straive
Calgary, AB
- Full-time
We are seeking a Senior Full Stack AI Engineer who can combine strong hands-on software engineering with technical engagement and project delivery leadership. The successful candidate will…
Added 3 days ago
Machine Learning Engineer
Opendoor
Toronto, ON
Added 3 days ago
C
AI Data Engineer
Citi
Mississauga, ON
- Full-time
We are seeking a highly motivated AI Data Engineer to design, develop, and deploy AI-powered applications and agentic solutions that enhance business processes and client delivery…
Added 3 days ago
GI
Artificial Intelligence Engineer
G-FORCE IT SERVICES INC
ON · Ontario, Canada
- Full-time
Added 3 days ago
L
Senior Product Manager, Firm Intelligence Platform
Litera
Toronto, ON · Canada-Toronto, ON-Office
- Full-time
Background as a software engineer, data engineer, or solutions architect, with a track record of taking products from zero to one.
Added 3 days ago
AI
Platform Engineer - AI/ML Infrastructure
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Halifax, NS
- Full-time
Platform Engineer – AI/ML Infrastructure, Kubernetes, GitOps & Helm

Baseten

Software Engineer - Partner Platform

Toronto, ON, 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
Apply by: Nov 21, 2026
Posting language: English
Posted: Oct 22, 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 ship AI products.

THE ROLE

The AI ecosystem is being built by many companies at once: model labs creating increasingly capable models, hyperscalers providing infrastructure and distribution, developers building new AI products, and a growing ecosystem of tools that agents can use.

Baseten sits at the center of that ecosystem as the inference platform developers use to run AI in production. Partner Engineering is how we connect those worlds.

As one of the first engineers focused on Partner Engineering at Baseten, you'll build the technical foundation behind some of our most strategic relationships. You'll work directly with engineers at leading model labs, hyperscalers, developer platforms, and AI infrastructure companies to turn partnerships into products developers can actually use.

You don't need a previous partner engineering title. We want an engineer who enjoys working directly with another company's technical team and carrying the resulting product decisions into production at Baseten.

What You'll Build

Bring new capabilities into Baseten. Integrate a search or developer-tools provider into Baseten so an agent can call the service during inference, with consistent authentication, execution, failure handling, observability, and usage reporting.
Take Baseten into new distribution channels. Integrate Baseten with a hyperscaler, cloud marketplace, or developer platform so customers can discover models, provision access, and run inference through a partner's product while Baseten handles the underlying serving infrastructure.
Launch models with leading model labs. Build the infrastructure that lets developers discover and run a model lab's newest models on Baseten, including access controls, usage attribution, metering, and the systems required to support commercial agreements such as revenue sharing.
Create the partner platform itself. Identify the primitives common across these integrations and turn them into reusable platform capabilities so we can launch increasingly sophisticated partnerships without reinventing the stack every time.

What You'll Own

Lead strategic partner integrations from technical discovery and architecture through implementation, launch, and production operation.
Work directly with partner engineering teams to design APIs, define system boundaries, resolve cross-company dependencies, and make architectural decisions.
Write substantial production code and own the systems you build.
Build reusable partner-platform primitives across identity, provisioning, inference, model serving, metering, billing, and other Baseten platform capabilities.
Own technical delivery across Baseten and partner teams, including milestones, dependencies, risks, and architectural tradeoffs.
Work closely with Partnerships and Product to understand where the ecosystem is going and translate emerging opportunities into platform investments.
Raise the bar for integration reliability through strong API contracts, testing, observability, safe rollouts, and thoughtful failure handling.
Help define what Partner Engineering becomes at Baseten as both the team and our ecosystem grow.

Requirements

Experience designing, shipping, and operating large-scale distributed systems in production. You can explain the architectural choices you made and how they meet customers' needs at scale.
A record of leading ambiguous engineering projects across teams while contributing substantial production code yourself.
Sound judgment about API design, service boundaries, and failure handling. You've built systems that uphold API contracts and meet measurable service-level objectives that customers and partners depend on.
Experience turning requests from customers, partners, or other engineering teams into a defined technical scope. You can explain a constraint, propose an alternative, and document the decision.
Comfort working across application code and cloud infrastructure, including debugging behavior that crosses service boundaries.

NICE TO HAVE

Product integrations with cloud providers, developer platforms, or other infrastructure companies.
Usage metering, marketplace infrastructure, or commerce systems that support relationships among multiple parties.
Model serving or other artificial intelligence (AI) infrastructure used in production.

Benefits

Competitive compensation, including meaningful equity
(U.S. only) 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
(U.S. only) 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

Lead strategic partner integrations from discovery and architecture through implementation, launch, and ongoing production operation, collaborating directly with partner engineering teams. Build reusable platform capabilities for identity, provisioning, inference, model serving, metering, and billing while ensuring reliable APIs and coordinating delivery across teams.

Requirements

Candidates should have experience designing, shipping, and operating large-scale distributed systems, along with a record of leading ambiguous cross-team projects while contributing substantial production code. They should demonstrate sound judgment in API design, service boundaries, failure handling, and service-level objectives, and be comfortable translating stakeholder needs into technical scope and debugging across application and cloud infrastructure.

Skills

Distributed Systems
Production Engineering
Partner Integrations
API Design
System Architecture
Cross-Functional Project Leadership
Production Coding
Cloud Infrastructure
Service-Level Objectives
Failure Handling
Observability
Testing
Safe Rollouts
Usage Metering
Billing Systems
Model Serving

Benefits

Competitive Compensation
Equity
Medical Insurance
Dental Insurance
Vision Insurance
Flexible Paid Time Off
Company-Wide Winter Break
Paid Parental Leave
Fertility And Family-Building Stipend
401(k)
Learning And Networking Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Inference Platform
Partner Engineering
Distributed Systems
API Design
Cloud Infrastructure
Hyperscalers
Cloud Marketplaces
Developer Platforms
Model Labs
Model Serving
Identity Management
Provisioning
Usage Attribution
Usage Metering
Billing
Revenue Sharing
Observability
Service-Level Objectives
API Contracts
Integration Testing
Failure Handling
Safe Rollouts
Production Operations
Cross-Company Dependencies
System Architecture
Search Providers
Developer Tools
Commercial Agreements
Inference Infrastructure

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