Baseten
AI & Machine LearningDirect Ashby career site

AI Inference Engineer

Location
San Francisco, CA (Remote) · On-site
Job type
Full-time
Level
Senior
Experience
2+ years
Education
Bachelor's degree
Listed
30 days ago

Skills & highlights for this role

  • Python
  • ML model deployment
  • production software engineering

Also useful

  • Docker
  • model serving
  • performance optimization

Stated benefits & perks

  • Health
  • Dental
  • Vision
  • 401k match
  • Parental leave

The Role

As a Forward Deployed 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 relevance in ML projects.
  • Drive customer impact by designing, implementing, and deploying Baseten solutions end-to-end (problem framing > evaluation > production deployment > monitoring). This involves working with customers’ engineering teams at every stage of the customer journey including: sales, implementation, and expansion.
  • Deliver with velocity: turn vague objectives into clear specs and well-defined PoCs so we can rapidly ship well-tested services and outcomes for our customers
  • Optimize and enhance AI/ML projects, contributing to the continuous improvement of our technical stack. This includes developing features and PRDs with other engineering and product orgs.
  • Own products and customer projects end-to-end, functioning as both an engineer, project manager, and product manager, with a focus on user empathy, project specification, and end-to-end execution.
  • Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity.
  • Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates.

Requirements

  • Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.
  • 2+ years of professional work experience in a fast-paced, high-growth environment.
  • Demonstrated experience with one or more general-purpose programming languages in a production-level environment, with a strong preference for Python.
  • Familiarity with AI/ML pipelines and the lifecycle of ML model development and deployment.
  • Strong communication skills, particularly on complex technical topics.
  • Experience in building or optimizing AI/ML projects is highly valued.

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.

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.

Read the original posting

From Baseten's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

Where is the AI Inference Engineer job at Baseten located?

Yes, this AI Inference Engineer opening at Baseten is listed as San Francisco, CA (Remote) (On-site). Always check Baseten's application page for specific state eligibility or relocation policies.

What qualifications are required for AI Inference Engineer at Baseten?

For the AI Inference Engineer role, Baseten highlights 2+ years of relevant experience; a bachelor's degree; experience with Python, ML model deployment, production software engineering. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the AI Inference Engineer position at Baseten?

This listing links directly to Baseten's Ashby application page. You can apply directly on Baseten's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.