AI Inference Engineer

Responsibilities

• Develop and maintain production-level software systems and product features using general-purpose programming languages, with a preference for Python.
• Design, implement, and deploy AI solutions end-to-end, from problem framing and evaluation through production deployment and monitoring.
• Work directly with customers’ engineering teams across sales, implementation, and expansion.
• Turn ambiguous objectives into clear specifications and well-defined proofs of concept.
• Optimize and enhance AI/ML projects and contribute to improvements in the technical stack.
• Develop features and product requirements with engineering and product teams.
• Own products and customer projects end-to-end, combining engineering, project management, product management, and technical customer success.
• Make sound tradeoffs and select appropriate tools while avoiding unnecessary complexity.
• Demonstrate ownership, accountability, and strong execution.

Requirements

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

Benefits and Compensation

• Competitive compensation, including meaningful equity.
• 100% coverage of medical, dental, and vision insurance for employees and dependents.
• Flexible PTO, including a 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 and opportunities for learning and networking.