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Senior Forward Deployed AI Engineer

webAI · Washington D.C. Area · Austin, TX

CHECKED 18H AGO

Applied AIremotesenior
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At a glance

Highlights

  • Build production-ready AI systems for public sector secure environments.
  • Deploy AI from government cloud to edge devices in disconnected environments.
  • Design agentic workflows orchestrating multi-step reasoning and tool use.

What they offer

  • Comprehensive health, dental, and vision benefits
  • 401(k) match
  • Equity options
  • $200/month Health & Wellness stipend
  • Continuing education support
  • $500/year Function Health subscription
  • Flexible Time Off (FTO)
  • Parental leave for eligible employees

Ideal candidate

Customer-obsessed systems thinker who thrives in ambiguous, mission-driven public-sector work and loves turning prototypes into reliable production AI. Comfortable advising clients on-site and persisting through complex deployment challenges.

Requirements

  • 5+ years combined experience in software engineering and machine learning
  • Active US security clearance
  • Proven track record deploying and maintaining ML/AI systems in production
  • Strong expertise in ML frameworks such as PyTorch, TensorFlow, ONNX, JAX
  • Experience debugging complex systems involving data pipelines, model inference, and hardware
  • Exceptional communication skills with ability to turn vague requirements into actionable plans
  • Comfortable in dynamic environments with high customer exposure
remote policy
Remote considered on a case-by-case basis

Lab profile

About webAI

Building distributed, private AI infrastructure for personalized, edge-deployed enterprise and government AI.

What they build

  • Distributed AI infrastructure
  • End-to-end private AI platform

Known for

  • Distributed edge processing
  • Private and sovereign AI
  • Specialized enterprise intelligence
  • Efficient and sustainable models
More about webAI →
Apply on the lab’s site ↗