AI Product Engineer

Summary

Dice is partnering with a high-growth AI technology company building trust and reliability infrastructure for production voice agents. The AI Product Engineer will work directly with enterprise customers to translate technical problems into product features and own solutions end-to-end across discovery, prototyping, development, and production.

Responsibilities

• Working directly with technical enterprise customers to understand product requirements
• Turning ambiguous customer problems into clear, shippable features
• Owning product features from discovery through production and iteration
• Building across frontend, backend, APIs, integrations and AI workflows
• Supporting customer implementations, POCs and technical adoption
• Turning one-off customer needs into reusable platform capabilities
• Writing production code across TypeScript and Python
• Using AI coding tools such as Claude, Codex and Cursor throughout your development workflow

Skills

• 0-3 years of professional software or product engineering experience
• Degree from one of the following universities: Stanford University, Harvard University, University of California, Berkeley, Massachusetts Institute of Technology, Indian Institutes of Technology (all campuses), University of Pennsylvania, University of Waterloo, Columbia University, Carnegie Mellon University, Cornell University, University of Cambridge, University of Oxford, Yale University, University of Michigan-Ann Arbor, Northeastern University, Georgia Institute of Technology, University of Illinois Urbana-Champaign, or Technical University of Munich
• Strong TypeScript and Python skills
• Strong full-stack engineering fundamentals
• Ability to build and ship complete product features
• Experience using AI coding tools as part of your daily development workflow
• Strong product and design instincts
• Comfortable working directly with technical customers
• Ability to work through ambiguity and move quickly without detailed specifications
• High level of ownership and strong communication skills
• Degree from one of the company's designated target universities
• Candidates must be based within North American time zones
• Experience with voice AI, realtime systems, LLM evaluations, observability or agent workflows would be beneficial but isn't essential
• Experience with technologies such as React, Next.js, LiveKit, WebSockets, Pipecat, Vapi, Retell AI or ElevenLabs are nice to haves
• Austin or San Francisco are preferred

Qualifications

Must Haves

• 0-3 years of professional software or product engineering experience
• Degree from one of the following universities: Stanford University, Harvard University, University of California, Berkeley, Massachusetts Institute of Technology, Indian Institutes of Technology (all campuses), University of Pennsylvania, University of Waterloo, Columbia University, Carnegie Mellon University, Cornell University, University of Cambridge, University of Oxford, Yale University, University of Michigan-Ann Arbor, Northeastern University, Georgia Institute of Technology, University of Illinois Urbana-Champaign, or Technical University of Munich
• Strong TypeScript and Python skills
• Strong full-stack engineering fundamentals
• Ability to build and ship complete product features
• Experience using AI coding tools as part of your daily development workflow
• Strong product and design instincts
• Comfortable working directly with technical customers
• Ability to work through ambiguity and move quickly without detailed specifications
• High level of ownership and strong communication skills
• Degree from one of the company's designated target universities
• Candidates must be based within North American time zones

Nice to Haves

• Experience with voice AI, realtime systems, LLM evaluations, observability or agent workflows would be beneficial but isn't essential
• Experience with technologies such as React, Next.js, LiveKit, WebSockets, Pipecat, Vapi, Retell AI or ElevenLabs are nice to haves
• Austin or San Francisco are preferred

Benefits

• Equity
• Remote-first