Applied AI Engineer / Forward Deployed Engineer (FDE)

Highlights

• Build and deploy production LLM systems with enterprise customers end to end.
• Ship agent architectures and reliable LLM systems under real-world constraints.
• Turn field insights into core product capabilities used across customers.

Ideal candidate

A builder-owner who thrives in ambiguity at the intersection of engineering, research, and customers, turning enterprise problems into reliable production AI that ships and scales.

Requirements

• BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics or equivalent practical experience
• Strong programming ability with production experience in Python, with experience in systems languages such as C++, Rust, or C
• Experience designing and implementing evaluation frameworks, monitoring systems, and reliability controls for AI systems
• Ability to design systems end-to-end spanning APIs, orchestration layers, reliability, latency constraints, and enterprise integrations
• Experience building secure integrations with enterprise infrastructure including authentication, authorization, auditability, and data-boundary controls
• Strong execution and ownership mindset comfortable operating in ambiguous environments where requirements evolve rapidly
• Experience building reusable internal platforms, deployment tooling, or engineering playbooks that accelerate future deployments
• Experience operating AI systems in production with strict latency, compute, reliability, and governance constraints