Full-Stack Engineer Job at Talentify.io, San Francisco, CA

  • Talentify.io
  • San Francisco, CA

Job Description

Description:

Our client wants a high-caliber full-stack/product engineer who also understands LLMs and agents.

Target Profile:

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 compelling evidence of 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.

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
Compensation: $200K-$300K + equity
#J-18808-Ljbffr

Job Tags

Work at office, Relocation

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