Full-Stack Engineer

Description:

Target Profile:

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

What They’ll Actually Build:

This role owns the product that helps engineers understand why production agents are failing and whether fixes actually work.

Ideal Candidate:

Someone who can:

TALK TO CUSTOMER → IDENTIFY PROBLEM → DESIGN PRODUCT → BUILD BACKEND → BUILD UI → SHIP → OBSERVE → ITERATE

They shouldn't need:

CUSTOMER → PM → PRD → ENGINEER

They should be comfortable collapsing that chain themselves.

Requirements

Must Haves:

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.

Strong Green Flags:

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

Nice-to-Haves:

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

Red Flags:

Agent experience but mediocre engineering AI wrapper/demo experience Research without production ownership Pure backend/infrastructure without product range Pure frontend without systems depth Never owned data → UI No customer-facing experience Needs specifications handed down Weak communicator Treats FDE/product engineering as a fallback Slow-moving candidate / weak commitment Cannot work in SF Benefits

Compensation: $200K–$300K + equity