AI-Native Product Engineer for Real-World Ops

Medium

New York (NY)

Vor Ort

USD 140.000 - 190.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Medical / Dental / Vision
401(k) plan
Paid time off + holidays
HSA-compatible plans
Flexible spending accounts
Employee assistance program

Zusammenfassung

Flow is hiring a software engineer who acts as a product engineer, blending backend, frontend, data, and AI to build tools for operators and neighbors in Flow's living environments.

You’ll work across teams, move fast with AI while upholding quality, and own end-to-end problems from discovery to rollout, with significant autonomy.

This onsite role emphasizes real-world impact, modern engineering practices, and the chance to influence how AI reshapes workflows in physical buildings.

Qualifikationen

  • Minimum three years of software engineering experience delivering customer-facing products.
  • Ability to work across backend, frontend, data, and infrastructure.
  • Proven track record of shipping production software quickly.
  • Strong AI-enabled development mindset and capability to use AI tooling effectively.
  • Excellent written and verbal communication.
  • Experience in fast-paced startup environments.
  • Willingness to own end-to-end problems.

Aufgaben

  • Design, build, and maintain software, workflow automations, and AI-enabled products.

Kenntnisse

Backend fundamentals
Generalist mindset
Fast learning
AI-native approach
Technical communication
Startup experience
Collaboration

Tools

Shell scripting
Python
Go
TypeScript
Relational databases
Vector databases
Graph databases

Jobbeschreibung

Flow is hiring a software engineer who acts as a product engineer, blending backend, frontend, data, and AI to build tools for operators and neighbors in Flow's living environments.

You’ll work across teams, move fast with AI while upholding quality, and own end-to-end problems from discovery to rollout, with significant autonomy.

This onsite role emphasizes real-world impact, modern engineering practices, and the chance to influence how AI reshapes workflows in physical buildings.

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