Forward-Deployed AI Infra Engineer — Own the Technical Win

Deep Infra Inc.

Palo Alto (CA)

Hybrid

USD 150,000 - 210,000

Full time

14 days+

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Job summary

DeepInfra seeks a hands-on Forward Deployed Engineer to partner withSales, engineering, and customers on rigorous evals and end-to-end deployments. You will run head-to-head bake-offs, tune deployments on modern hardware, and craft reusable assets that speed future deals.

You’ll own the technical win from first call through production, shaping GTM readiness and enterprise-facing narratives with both technical and procurement stakeholders in mind.

Qualifications

  • Customer-facing engineering with an owned technical outcome at an infrastructure or ML platform company.
  • Strong Python skills.
  • Dual-audience presence with commercial instinct — credible with a skeptical staff engineer, clear with a CFO, and able to tell a technical objection from a procurement one.

Responsibilities

  • Own the technical win and the POC timeline, working closely with Sales and Engineering, from call one.
  • Design and run reproducible benchmark harnesses (TTFT, ITL, throughput/GPU, p95/p99) and quality-parity evals.
  • Run head-to-head bake-offs against leading AI providers — and win them.
  • Tune model-to-hardware deployments on B200/B300/GB300 NVL72.
  • Build cost-per-token models and write migration plans.
  • Handle enterprise security and compliance review, and get deployments to launch readiness.
  • Own account health post-signature, driving usage reviews and expansion.
  • Turn what you learn into reusable benchmark reports, reference architectures, and AE enablement material.

Skills

Strong Python skills
Customer-facing engineering

Job description

DeepInfra seeks a hands-on Forward Deployed Engineer to partner withSales, engineering, and customers on rigorous evals and end-to-end deployments. You will run head-to-head bake-offs, tune deployments on modern hardware, and craft reusable assets that speed future deals.

You’ll own the technical win from first call through production, shaping GTM readiness and enterprise-facing narratives with both technical and procurement stakeholders in mind.

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