Summary
What you’ll impact
The Forward Deployed Engineer (Agentic AI) will embed with portfolio companies to identify operational bottlenecks and ship production‑grade AI‑driven automation. They will act as the technical lead, build full‑stack integrations, operate and scale systems, and codify reusable playbooks for future deployments.
Responsibilities
What you'll do
- Embed & Discover: Work closely with portfolio leadership to understand their operational models and identify key workflow opportunities for AI automation.
- Ship Production Systems: Build full-stack integrations, prompts, evals, and UI surfaces to deploy live agentic loops directly into company operations.
- Operate & Scale: Post-launch, tune autonomy tiers, monitor system performance, and smoothly transition stable workflows to internal ops teams.
- Serve as Technical Lead: Act as the technical face of the platform to non-technical operators and executives, establishing trust through execution.
- Codify Playbooks: Bring patterns back to HQ to build reusable platform playbooks that accelerate future deployments.
Requirements
What you’ll bring
- Experience: 3–6 years of experience in full-stack engineering, product engineering, or forward-deployed roles. (High-potential new graduates with direct FDE or LLM deployment experience are also welcome to apply).
- Full-Stack Technical Depth: Proficiency across TypeScript/Python, React, and SQL—you must be comfortable owning end-to-end delivery solo.
- Production LLM/Agentic Systems: Hands-on experience shipping real AI systems featuring evals, autonomy gating, and outcome tracking (not just demos).
- Operator Instincts: Ability to read a P&L, understand business drivers, and translate non-technical operational bottlenecks into technical solutions.
- Travel & Work Setup: Based in (or open to relocating to) New York, San Francisco, or Toronto, with a hybrid setup (3–4 days in-office) and occasional domestic travel to portfolio sites.