Forward Deployed Engineer

Role overview Partner with customers to design, build, and deploy production AI applications, carrying projects from early problem framing through launch and monitoring. This is a hands-on software engineering role that also involves customer collaboration, project ownership, and product input, with attention to service quality, latency, and cost.

Responsibilities - Develop and maintain production software and product features in a general-purpose programming language, with Python preferred. - Work with customer engineering teams across sales, implementation, and expansion to deliver end-to-end solutions. - Turn ambiguous goals into clear specifications and focused proofs of concept, then ship well-tested services. - Improve AI and ML projects and contribute to technical stack improvements, features, and product requirements. - Own customer projects through execution, balancing engineering work with project coordination and product decisions. - Make sound tradeoffs, avoid unnecessary complexity, and take accountability for outcomes.

Requirements - Bachelor's, master's, or doctoral degree in computer science, engineering, mathematics, or a related field. - At least two years of professional experience in a fast-paced, high-growth environment. - Production-level experience with one or more general-purpose programming languages; Python is preferred. - Familiarity with AI/ML pipelines and the model development and deployment lifecycle. - Strong communication skills, including explaining complex technical topics.

Nice to have - Experience building or optimizing AI/ML projects.

Benefits and work setup - Competitive compensation with equity. - In the United States, medical, dental, and vision coverage for employees and dependents, plus a company-facilitated 401(k). - Flexible paid time off, a company-wide winter break, and paid parental leave. - Fertility and family-building stipend. - Exposure to a range of ML startups and their technical challenges.