AI Inference Engineer

Location
New York City (preferred)

Location Type
On-site • Hybrid • Remote (US-based)

Employment Type
Full-time

Department
Engineering — Applied AI & Inference

Compensation
• Competitive base salary
• Performance-based commission
• Equity

About Evergrid

Evergrid builds the infrastructure that powers advanced artificial intelligence at scale, with the Most Advanced Neocloud.

We design and operate critical GPU and power infrastructure for frontier AI workloads — environments where performance, reliability, and execution are non-negotiable. Our customers are building systems at the edge of what’s possible, and they depend on infrastructure that scales quickly and works under sustained pressure.

We care deeply about outcomes, ownership, and building durable systems and long-term partnerships.

The Role

As an Applied AI Inference Engineer, you will work directly with Evergrid’s customers to architect, build, and deploy high-scale production AI inference systems on our infrastructure.

You will own customer projects end to end — from early exploration through production deployment and monitoring — translating ambiguous goals into observable, reliable services with clear quality, latency, and cost outcomes.

This is a hands-on engineering role that blends software development, inference performance engineering, and customer-facing execution. You’ll work closely with internal platform and infrastructure teams while embedding with customer engineering organizations.

What You’ll Do

• Design, build, and maintain production-grade software systems and inference services, with a strong emphasis on Python

• Own customer engagements end-to-end: problem framing, evaluation, proof-of-concept, production deployment, and monitoring

• Collaborate directly with customer engineering teams across sales, implementation, and expansion phases

• Turn ambiguous objectives into clear technical specifications and well-scoped PoCs

• Optimize AI/ML inference pipelines for latency, throughput, reliability, and cost

• Contribute improvements to Evergrid's inference stack, tooling, and platform capabilities

• Operate with high ownership — acting as engineer, technical lead, and execution driver for customer-facing initiatives

• Navigate ambiguity and make sound tradeoffs to deliver simple, maintainable solutions

What We’re Looking For

• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Mathematics, or a related field (or equivalent practical experience)

• 1+ years of professional experience in a fast-paced engineering environment

• Experience with SGlang, vLLM, and other inference engines & schedulers.

• Strong experience writing production-level software, with a preference for Python

• Familiarity with AI/ML pipelines and the lifecycle of model development, deployment, and monitoring

• Strong communication skills, particularly when discussing complex technical topics

• Experience building, deploying, or optimizing AI/ML systems is highly valued

• Comfort working directly with customers and owning outcomes end-to-end

How We Work

Evergrid is a high-bar, high-trust environment.

We give engineers real ownership over customer outcomes and system design. You’ll work on infrastructure and inference systems where performance, reliability, and clarity matter — and where your work directly shapes how customers use AI in production.