Founding Forward-Deployed AI Engineer (Equity)

hcompany.ai

New York (NY)

On-site

USD 180,000 - 260,000

Full time

13 days ago

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Benefits offered by this job

Equity
Competitive compensation

Job summary

H Company seeks a Founding Forward Deployed Engineer in the US (NY area) to accelerate customer deployments of autonomous AI. You will own end-to-end integration with customer systems, APIs, and data pipelines.

You’ll work closely with product, research, and engineering to shape the roadmap, iterate in the field, and deliver production-grade services. Strong Python and LLM experience is required, with travel to customer sites as needed.

Qualifications

  • 3+ years of professional AI + software engineering experience.
  • Experience with AI/ML systems and integrating LLMs into real products.
  • Fluency in Python; familiarity with TypeScript.
  • Experience building production APIs, services, infrastructure, and data pipelines.
  • Excellent communication and customer-facing skills.
  • Willingness to travel for on-site deployments or customer engagements.

Responsibilities

  • Identify customer tasks to automate and define automation scope.
  • Seamlessly integrate with customer systems, databases, third-party APIs, and internal tools.
  • Iterate in the field with tight feedback loops to improve product fit.
  • Architect, build, and maintain production-grade services that scale with usage and complexity.
  • Collaborate with product, research, and engineering teams to shape the roadmap based on field findings.

Skills

Python
TypeScript
React
FastAPI
Next.js
LLMs integration
APIs & backend

Tools

FastAPI
Next.js
React

Job description

H Company seeks a Founding Forward Deployed Engineer in the US (NY area) to accelerate customer deployments of autonomous AI. You will own end-to-end integration with customer systems, APIs, and data pipelines.

You’ll work closely with product, research, and engineering to shape the roadmap, iterate in the field, and deliver production-grade services. Strong Python and LLM experience is required, with travel to customer sites as needed.

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