On-Site NYC AI-Native Forward Deployed Engineer — Equity

People In AI

New York (NY)

On-site

USD 170,000 - 190,000

Full time

8 days ago

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Job summary

People In AI in New York City is seeking a Forward Deployed Engineer to join our on-site team. You will deliver production software that adapts a common platform to the intricate public-sector workflows and environments, handling integration with legacy databases and client-owned systems.

You’ll work closely with product and deployment teams, shaping architecture and tooling, while traveling about 20% and contributing to faster deployment cycles with AI-assisted coding.

Qualifications

  • Hands-on engineering in production environments.

Responsibilities

  • Build production software adapting a common platform for public-sector workflows and environments.
  • Translate ambiguous operational requirements into clear technical designs.
  • Architect and implement integrations across legacy databases, APIs, infrastructure, and client systems.
  • Determine which customizations stay in deployment and which become core platform features.
  • Partner with product and deployment teams to resolve technical challenges.
  • Identify repetitive work and create abstractions, tooling, and reusable components.
  • Debug and resolve production issues across unfamiliar systems and environments.
  • Leverage AI-native development tools to accelerate delivery while maintaining judgment.
  • Feed deployment insights back into product and engineering roadmap.

Skills

Software engineering
Production systems
APIs
Databases
AI tooling
Ownership
Cross-functional collaboration
Communication
On-site work

Tools

Claude
Codex

Job description

People In AI in New York City is seeking a Forward Deployed Engineer to join our on-site team. You will deliver production software that adapts a common platform to the intricate public-sector workflows and environments, handling integration with legacy databases and client-owned systems.

You’ll work closely with product and deployment teams, shaping architecture and tooling, while traveling about 20% and contributing to faster deployment cycles with AI-assisted coding.

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