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Open nowPosted 44 hours ago

Full-Stack Engineer

Workable (global search)108,016 open roles

Where
San Francisco, CA, United States
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Your applicationOpen nowFull-Stack EngineerWorkable (global search) · San Francisco, CA, United States

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 44 hours ago

Workable (global search) median: 7 days open

The posting

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

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