Frontier AI Deployment Engineer (Production)

Precision Labs; Northern, New York (KY, NY); Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Relocation assistance

Hybrid work model (3 days in office)

Job summary

OpenAI Forward Deployed Engineers lead complex end-to-end deployments of frontier models in production, partnering with customer teams to design, build, and rollout systems.

You will own discovery, scoping, and production rollout, measuring success by adoption and impact, and collaborating with Product, Research, and Security teams. This role is based in New York with a hybrid schedule and relocation assistance; travel up to 50% is required.

Qualifications

• 5+ years engineering or technical deployment experience with customer-facing work.
• Scope and deliver complex systems in fast-moving or ambiguous environments.
• Write and review production-grade code across frontend and backend.
• Experience with systems powered by LLMs or generative models.
• Communicate clearly with engineers, product teams, and customers.

Responsibilities

• Own technical delivery across deployments from prototype to production.
• Build full-stack systems that deliver customer value.
• Embed with customer teams to guide adoption of what you build.
• Scope work, sequence delivery, and remove blockers early.
• Make trade-offs between scope, speed and quality; adjust plans to protect delivery.
• Contribute in code when needed; codify patterns into reusable blocks.
• Share feedback to inform Research and Product roadmaps.
• Maintain clarity and follow-through to keep teams moving.

Skills

Customer-facing

End-to-end deployments

Frontend & Backend

Python

JavaScript

System design

LLMs / Generative models

Tools

Python

JavaScript

Job description

OpenAI Forward Deployed Engineers lead complex end-to-end deployments of frontier models in production, partnering with customer teams to design, build, and rollout systems.

You will own discovery, scoping, and production rollout, measuring success by adoption and impact, and collaborating with Product, Research, and Security teams. This role is based in New York with a hybrid schedule and relocation assistance; travel up to 50% is required.