Generative AI Engineer (FDE) Job at AustinWorks, New York, NY

  • AustinWorks
  • New York, NY

Job Description

Forward Deployed Engineer — Applied AI

Location: New York City, 5 days onsite

Compensation: $300k to $400k on target earnings

Experience: ~3–10+ years, with flexibility for exceptional engineers

About

Our client is a fast-growing, bootstrapped AI company helping Fortune 500 businesses become AI-native.

  • Embeds engineers directly inside major enterprises
  • Builds production AI systems, not decks or POCs
  • Works closely with leading frontier AI labs and technology companies
  • Scaling rapidly through customer revenue rather than traditional VC funding
  • Competes for enterprise work with some of the largest consulting and technology firms in the world

The Role

As a Forward Deployed Engineer, you'll own high-impact technical problems from initial discovery through production deployment .

You’ll:

  • Work directly with enterprise customers and senior stakeholders
  • Architect, build, deploy, and support production software
  • Build AI agents, copilots, RAG systems, workflow automation, and enterprise integrations
  • Work across backend, frontend, data, APIs, and cloud infrastructure
  • Enter unfamiliar codebases and environments with limited handholding
  • Use modern tools such as Claude Code, Cursor, and Codex to increase engineering velocity

This is a true engineering role, not traditional Solutions Engineering or consulting.

What They're Looking For

  • Strong production ownership: You've personally designed, shipped, and supported meaningful production software
  • Full-stack/generalist ability: Comfortable across backend, APIs, databases, frontend, infrastructure, and deployment
  • Cloud depth: Strong experience with AWS, GCP, or Azure, including CI/CD, containers, reliability, and distributed systems
  • Customer presence: Able to communicate clearly with engineers, operators, and Fortune 500 executives
  • High agency: Comfortable owning ambiguous problems and making technical decisions independently

Strong Bonus Signals

  • Production experience with LLMs, agents, RAG, MCP, evals, orchestration, or AI reliability
  • Founder, founding engineer, or early-stage startup experience
  • Open-source contributions or meaningful side projects
  • Strong experience using AI coding tools in your day-to-day workflow

Why Join

  • Work on frontier AI problems inside some of the world's largest companies
  • Very high engineering ownership and direct customer impact
  • Exposure to executive-level business problems unusually early
  • High-autonomy, high-performance environment
  • Uncapped cash compensation tied to output

Job Tags

Full time

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