Product Engineer - Enterprise AI Platform (Onsite NYC)

Dex

New York (NY)

Sur place

USD 120 000 - 160 000

Plein temps

Il y a 3 jours
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Résumé du poste

Dex is building the AI operating system for enterprise IT. You will own products end-to-end, from concept to production, engaging with enterprise users to shape the roadmap and deliver impactful capabilities.

Design and ship agentic AI systems across a modern stack, contributing to the core product experience in the coming year. You will join as an early member of the New York office, working five days a week in person, with a focus on practical, shipped work and iterative problem solving for

Qualifications

  • Experience building AI-native agentic systems in production or side projects.
  • Ability to discuss failure modes, evaluations, and tool design.
  • Strong engineering fundamentals with demonstrated shipped work.
  • Excellent product instincts and comfort with enterprise users.

Responsabilités

  • Own product development end-to-end: research, conceptualisation, experimentation, implementation, and iteration with enterprise customers.
  • Engage directly with large enterprise users to shape the product roadmap.
  • Design and ship agentic AI systems with robust failure modes and evaluation frameworks.
  • Operate across a modern stack (Kotlin backend, React/Vite frontend, Temporal, in-house LLM harness).
  • Be a key contributor defining the core product experience over the next year.

Connaissances

Agentic AI
Production experience
Failure modes
Eval frameworks
Tool design
Engineering fundamentals
Product instincts

Outils

Kotlin backend
React/Vite frontend
Temporal
in-house LLM harness

Description du poste

Dex is building the AI operating system for enterprise IT. You will own products end-to-end, from concept to production, engaging with enterprise users to shape the roadmap and deliver impactful capabilities.

Design and ship agentic AI systems across a modern stack, contributing to the core product experience in the coming year. You will join as an early member of the New York office, working five days a week in person, with a focus on practical, shipped work and iterative problem solving for

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