Listing

Evergrid

AI Inference Engineer

  • New York
  • onsite
  • Full time

$140,000–$160,000 / yearPosted Updated

Free to apply. You’ll finish on the employer’s own site.

Skills mentioned
  • Python

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

 

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