Full-Stack Engineer

About the role

Our client wants a high-caliber full-stack/product engineer who also understands LLMs and agents. The key distinction from their Research Engineer search: FULL-STACK ENGINEERING FIRST → AGENT DEPTH SECOND. Candidates do not need to be hardcore agent researchers; the client explicitly allows engineers with hands-on LLM/agent experience or demonstrable ability to ramp quickly. Core profile: FULL-STACK → END-TO-END OWNERSHIP → AGENTS/LLMs → CUSTOMER-FACING → 0→1 → HIGH AGENCY.

Responsibilities

• Own the product that helps engineers understand why production agents are failing and whether fixes actually work.
• Talk to customers, identify problems, design product, build backend, build UI, ship, observe, and iterate.
• Collapse the customer → PM → PRD → engineer chain yourself.

Requirements

• 3-7 years full-stack engineering
• Strong production engineering
• Owns systems data layer → backend → UI
• Hands-on LLM/agent experience or compelling evidence of ability to ramp rapidly
• Strong technical problem solving
• Comfortable with ambiguity
• Excellent communication
• Direct customer interaction
• Product instincts
• High agency
• Can define what to build rather than waiting for specs
• SF / willing to relocate
• 5 days/week in office
• About 30% of the role is customer‑facing, which is unusually important for this search

Qualifications

• Experience at companies such as Palantir, Databricks, Datadog, Cognition, Decagon, Sierra, Linear, Cursor, Ramp, Figma, Vercel, CockroachDB, Retool, Modal, Anyscale, Runway, Applied Intuition, Anduril, Notion, Nomic, MotherDuck
• Strong product company + technical depth
• FDE / Solutions Engineer with serious coding depth
• Early startup engineer
• Ex‑founder
• Founder‑to‑be profile
• Coding competitions
• Research + production engineering
• AI evals
• Observability
• Agent behavior monitoring

Skills

• Agent evals
• Observability
• Agent behavior monitoring
• FDE experience
• Solutions engineering
• Founder background
• Early startup
• Strong infrastructure
• Backend depth
• AI product experience
• Coding competitions
• Research experience

Pay

$200K-$300K + equity

Schedule

5 days/week in office