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S Software Engineer - Partner Platform San Francisco; Remote), CA, US Mid machine learning agent distributed systems

Remote / Online - Candidates ideally in
Moreno Valley, Riverside County, California, 92551, USA
Listing for: ContentBuffer
Full Time, Remote/Work from Home position
Listed on 2026-10-04
Job specializations:
  • Software Development
    Backend Developer, Software Engineer, Software Architect
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below
Position: S Software Engineer - Partner Platform San Francisco (Remote), CA, US Mid machine learning agent distributed systems
# Software Engineer - Partner Platform Full Time computer Remote location on San Francisco (Remote), CA, US  Midopen in new Apply on site Opens in a new tab on website.##

Job Description ABOUT BASETENBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, Open Evidence, 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 T 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.

-…
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