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Forward Deployed Engineer

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webAI

webAI is a sovereign AI platform that lets organizations build, deploy, and operate custom AI on their own infrastructure. It serves enterprise teams across industries such as healthcare, manufacturing, financial services, aviation, public sector, and retail.

Austin, USA
About webAI

webAI provides a full-stack, locally operated AI platform for enterprises seeking private, controllable AI. Its platform includes Navigator for building, training, and deploying custom models; Companion, an on-device AI assistant; Runtime for distributed workload orchestration; webFrame for optimized inference and training; Network for secure local connectivity; and a CLI for programmatic management. The company emphasizes data sovereignty, local deployment, predictable costs, and support for edge devices and private clusters.

View jobs by webAI

Skills

About the Role

You will deploy AI solutions in enterprise environments, work directly with customers to understand their needs, and ensure reliable production performance. You will improve deployment processes, build internal tooling, debug data pipelines and AI systems, and translate customer needs into practical technical solutions. You will travel to customer locations as needed to support deployment, troubleshooting, and platform integration.

Requirements

  • Have 5+ years of combined experience in software engineering, field engineering, or deployment engineering.
  • Demonstrate experience deploying and maintaining machine learning or AI systems in production.
  • Use scripting and automation tools such as Python or Bash.
  • Debug complex systems involving data pipelines, model inference, and hardware interaction.
  • Communicate effectively and turn vague requirements into actionable plans.
  • Work comfortably in dynamic, customer-facing environments.
  • Travel at least 25%, including occasional on-site customer work.

Responsibilities

  • Own and continuously improve the deployment runbook.
  • Serve as the technical point of contact for customers during deployment and early production.
  • Build and maintain internal tooling for faster, repeatable deployments.
  • Scope, deploy, and maintain AI solutions in production environments with customers.
  • Debug and optimize data pipelines and AI systems on customer networks.
  • Translate ambiguous customer requirements into well-scoped technical solutions.
  • Act as a trusted technical advisor to enterprise clients.
  • Provide feedback to improve product robustness and usability.

Benefits

  • Comprehensive health, dental, and vision benefits package.
  • 401(k) match for U.S.-based employees.
  • $200/month Health & Wellness stipend.
  • $500/year Function Health subscription for U.S.-based employees.
  • Free parking for in-office employees.
  • Flexible Time Off.
  • Parental leave for eligible employees.
  • Supplemental life insurance.