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About 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. 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.

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 (problem framing → evaluation → production deployment → monitoring).
Work 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.
Develop 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.

Skills

Python
AI/ML pipelines
ML model development
ML model deployment
Communication skills

Experience Level

2+ years of professional work experience

Education Level

Bachelor's degree
Master's degree
Ph.D. degree

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)

About the Company

Baseten powers mission-critical inference for the world's most dynamic AI companies.
We unite 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 to ship AI products.

Equal Opportunity

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.