AI Inference Engineer
Remote • San Francisco • FullTime
Posted 1mo ago
About the job
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. 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.
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.
- Drive customer impact by designing, implementing, and deploying Baseten solutions end-to-end, working with customers' engineering teams at every stage of the customer journey.
- Deliver with velocity by turning vague objectives into clear specs and well-defined PoCs for rapid shipping of well-tested services.
- Optimize and enhance AI/ML projects, contributing to the continuous improvement of the technical stack.
- Own products and customer projects end-to-end, functioning as an engineer, project manager, and product manager.
- Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems.
- Demonstrate pride, ownership, and accountability for your work.
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
- 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break
- 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.