Forward Deployed Engineer

Required

• Experience delivering software into classified or air-gapped government environments: you know the security controls, the accreditation processes, and the limits on offline deployment.
• Strong technical fluency: comfortable reading, writing and reasoning about code, architecture and system behavior, with strong Python and experience shipping production-grade systems.
• A track record of leading complex technical projects: coordinating contributors across work-streams, making practical tradeoffs, removing obstacles, and owning end-to-end delivery outcomes.
• Hands-on infrastructure and inference experience: you’ve deployed multi-node GPU clusters (Kubernetes or Slurm), served large models in production (vLLM, SGLang), and rigorously benchmarked tradeoffs like quantization, caching, batching and speculative decoding.
• Agent engineering: you’ve shipped LLM-based agents to production in the last 1–2 years, designed their harnesses (tool calling and MCP, context management, orchestration, guardrails) and the evals behind them, and know when post-training can be used.
• 5+ years of relevant experience delivering technical systems, including 2+ years in a technical leadership role (e.g., tech lead, engineering manager or founding engineer).
• Demonstrated ability and interest in customer-facing work: understanding user needs, architecting solutions for real business problems, and delivering tangible outcomes. You can go from a whiteboard session to debugging a deployment in the customer’s environment.
• Self-starter with high agency and ownership who excels in fast-paced startup environments where the playbooks are still being written.