AI Solutions Engineer

Company: Baseten

Location: San Francisco, CA

Salary: $160k - $275k per year

Type: Full-time

Level: Junior

Posted: 2026-02-14

About this role

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 $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products.


THE ROLE
As an AI Solutions Engineer at Baseten, you will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own the journey with customers from initial exploration to production deployment, translating ambiguous business goals into reliable, observable services with clear quality, latency, and cost outcomes.


This role is a great fit for entrepreneurial engineers who want a front-row view into how modern companies adopt AI at scale and who enjoy working across product, software development, performance engineering, and customer-facing implementations.


To be clear, this is an engineering role with hands-on coding and software development that also includes aspects of product management, technical customer success, and pre-sales solution engineering mixed in.


EXAMPLE INITIATIVES
Take a look at these blog posts written by members of our Forward Deployed Engineering team:

  • Forward Deployed Engineering on the frontier of AI
  • The fastest, most accurate Whisper transcription
  • Deploy production-ready model servers from Docker images
  • Deploy custom ComfyUI workflows as APIs

Responsibilities

  • Develop and maintain software systems and product features using one or more general-purpose programming languages in a production-level environment, with a preference for Python due to its re...

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