Raydar
Field Engineer
$176K–$224K
United States · Remote · Full-time · Posted Oct 12, 2026
- Experience
- 3+ years in a technical, customer-facing role.
About the job
Lead customer-facing AI engagements from technical discovery and proofs of concept through production deployment, while advising on models and sharing customer insights with product teams.
What you'll do
- Scope and deliver customer proofs of concept, evaluations, load tests, and production integrations.
- Advise on model selection, fine-tuning, evaluation, and deployment architecture.
- Manage enterprise stakeholders and relay recurring customer needs to product and engineering teams.
What they ask for
- 3+ years of experience in a technical, customer-facing role.
- Track record delivering AI or ML software in clients’ live systems, including hands-on LLM serving and fine-tuning.
- Experience deploying open-model inference infrastructure; working knowledge of open-model serving tools and inference trade-offs.
- Solid Python ability, experience running GPU workloads on a major cloud platform, and familiarity with Kubernetes.
Nice to have
- Experience navigating enterprise organizational dynamics end-to-end.
- Experience with preference-based or reinforcement fine-tuning workflows.
Pay
USD 176,000 to 224,000 per year (base salary)
Tools
Python, Kubernetes
AI focus
Hands-on AI/ML customer delivery, including LLM serving and fine-tuning, open-model inference, model selection, evaluation, and production deployment.
Model-written summary · the original posting is authoritative