Skip to the page

AI Inference Engineer

EvergridAshbyNew York City
Posted 30 JanFound 14 OctSeen 2 hours ago

Check your resume for this job's 15 skills, free. Then have AI tailor it.

Fit

The keywords the posting names, against what your resume says.

Add your resume to see which of its keywords you already have, and get a resume tailored to this posting. 10 a month, free.

The Posting

United States | Hybrid or Remote | Full-time

The role

You'll work directly with Evergrid's customers to architect, build, and deploy high-scale production inference systems on our infrastructure.

You own customer projects end to end, from early exploration to production deployment and monitoring. You take goals that start out unclear and turn them into reliable services you can monitor, with defined quality, latency, and cost targets. This role is hands-on. It combines software development, inference performance engineering, and customer-facing execution. You'll embed with customer engineering teams and work closely with our platform and infrastructure teams.

What you'll own

  • Production-grade software systems and inference services, built mainly in Python.
  • Customer engagements end to end: problem framing, evaluation, proof of concept, production deployment, and monitoring.
  • Direct work with customer engineering teams through sales, implementation, and expansion.
  • Turning unclear goals into clear technical specs and well-scoped PoCs.
  • Inference pipelines optimized for latency, throughput, reliability, and cost.
  • Improvements to Evergrid's inference stack, tooling, and platform.
  • Customer-facing initiatives, where you act as engineer, technical lead, and the person who drives execution.
  • Sound tradeoffs under uncertainty that lead to simple, maintainable solutions.

What you bring

  • A bachelor's, master's, or PhD in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
  • 3+ years of professional engineering experience.
  • Experience with SGLang, vLLM, and other inference engines and schedulers.
  • Strong production software skills, preferably in Python.
  • Familiarity with the AI/ML lifecycle: model development, deployment, and monitoring.
  • Clear communication on complex technical topics.
  • Experience building, deploying, or optimizing AI/ML systems, which we value highly.
  • Comfort working directly with customers and owning outcomes end to end.

Benefits & Compensation

  • Compensation: $140,000 - $160,000
  • Health insurance
  • Paid time off and paid holidays
  • Home office stipend

Facts

Source
Ashby
External id
9ff4708f-4025-42d9-a6b7-2e014eeda3ae
Location
New York City, NY, United States
Remote
On-site, from the posting
Employment
Full time
Posted
30 Jan 2026, 19:22
First seen
14 Oct 2026, 18:17
Last seen
2 Nov 2026, 15:09
Status
Not yet added
Posting id
f7fb205e-4e24-594b-b805-fc56fc753f61