[Hiring] AI Field Engineer @Raydar

Role Description

Embed with the company's most ambitious enterprise customers and turn complex GenAI challenges into production systems. You are the technical tip of the spear, pairing deep hands-on engineering with the executive presence to earn trust across large organizations and drive deals from first discovery call to production.

What You Will Do

• Lead technical discovery calls, scope proofs of concept and run load tests and evaluations to choose the right model architecture and deployment configuration.
• Build end-to-end POCs and production integrations hands-on inside customer environments, working within their infrastructure and security constraints.
• Guide customers on model selection, fine-tuning strategy (SFT, DPO, RFT) and evaluation frameworks.
• Manage multi-stakeholder enterprise relationships and move deals forward quickly.
• Feed recurring customer pain points back into the product roadmap.

Qualifications

• Three or more years in client-facing AI or ML roles such as solutions architect, forward-deployed engineer, applied AI engineer or sales engineer.
• Hands-on LLM inference and fine-tuning experience with open-model frameworks such as vLLM, SGLang or TensorRT-LLM. Closed-model API work alone is not enough.
• Production code shipped inside a customer's environment, not just advisory work.
• Strong Python, GPU and cloud infrastructure experience (AWS, Azure or GCP) and comfort with Kubernetes.
• Executive presence: you can run a technical deep-dive with an ML engineer and present trade-offs to a VP in the same afternoon.
• Pre-sales ownership from discovery through POC scoping, evaluations and model selection.

Requirements

• $176,000-$224,000 base salary, or $220,000-$280,000 on-target earnings, plus competitive equity. H-1B transfers and TN visas are sponsored.

Location and Work Model

• Full-time and remote, with a preference for candidates near San Francisco or New York City.
• Domestic travel to enterprise customers as needed.