Applied AI Inference - Forward Deployed Engineer

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.