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Avathon

Forward Deployed AI Engineer

Pleasanton, California, United States$130k–$180kmidAdded 1 month ago

About this role

Avathon seeks a Forward Deployed AI Engineer to design and deploy production-grade AI applications that transform industrial operations across supply chains, energy, and logistics. You'll work directly with customers to convert complex operational challenges into real-time, autonomous AI-driven systems that operate at scale across physical infrastructure.

What you'll do

  • Own end-to-end deployment of high-stakes AI applications in operational environments
  • Design and implement Computational Knowledge Graph solutions that unify data and enable continuous autonomous decision-making
  • Replace static planning workflows with real-time execution applications
  • Collaborate with operators and stakeholders to define problems and deliver tailored solutions
  • Deploy systems that directly influence and control real-world operations
  • Feed field insights back to the core platform to drive product evolution

What they're looking for

  • Machine learning and optimization
  • Production AI/ML application development
  • Programming (Python, Java, C++, TypeScript, or similar)
  • System design and architecture
  • Complex systems reasoning (supply chains, networks, infrastructure)
  • Model inference and tuning
  • End-to-end problem-solving without handoffs
  • Customer engagement and field operations

Benefits

  • Base salary $130,000–$180,000 USD (California)
  • Equity compensation
  • Work at the forefront of industrial AI innovation
  • High-growth startup environment with rapid professional development
  • Meaningful impact on autonomous operations across major industries
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Avathon

Avathon builds production-grade AI systems that transform industrial operations in supply chains, energy, and logistics through real-time autonomous solutions. The company is hiring AI engineers to design, deploy, and optimize generative AI and LLM applications for forecasting, anomaly detection, and predictive maintenance at enterprise scale.

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Likely interview questions

  • Walk us through a production AI/ML system you've built end-to-end—what were the biggest challenges moving from model to deployment?
  • Tell us about a time you had to design a system spanning multiple interconnected components (supply chains, networks, infrastructure). How did you approach the complexity?
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