Forward Deployed Engineer - AI Platform & Data

Block MB

New York (NY)

On-site

USD 200,000 - 280,000

Full time

6 hours ago
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Job summary

Flatiron in Manhattan, NYC is hiring a Forward Deployed Engineer. The role blends platform work with frontier AI lab needs, handling ad hoc data tasks, dashboards, and RL task crafting on tight timelines.

Expect a fast-moving generalist environment with customer-facing deliverables and high-impact features. We seek 2–5 years of full-stack experience, strong TS and Python, and a proven ability to translate customer needs into rapid technical solutions while collaborating closely with customers

Qualifications

  • 2 to 5 years in full-stack software engineering, in fast-paced environments.
  • Production software shipped at a high-growth VC-backed company.
  • Strong TypeScript and Python, with experience across backend, data pipelines and frontend.
  • Proven track record turning customer needs into fast technical solutions.
  • Comfort working directly with customers and iterating quickly on requests.

Responsibilities

  • Shape data created by experts to meet frontier AI lab requirements.
  • Build quick plugins, features, or temporary improvements to data collection systems.
  • Handcraft RL task samples tailored to customer needs.
  • Spin up customer-facing dashboards and portals on tight timelines.
  • Identify when a one-off build should be generalized into the core platform.

Skills

TypeScript
Python
Full-stack engineering
Customer collaboration
Frontend and backend

Tools

Dashboards
Data pipelines
APIs

Job description

Flatiron in Manhattan, NYC is hiring a Forward Deployed Engineer. The role blends platform work with frontier AI lab needs, handling ad hoc data tasks, dashboards, and RL task crafting on tight timelines.

Expect a fast-moving generalist environment with customer-facing deliverables and high-impact features. We seek 2–5 years of full-stack experience, strong TS and Python, and a proven ability to translate customer needs into rapid technical solutions while collaborating closely with customers

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