Full-Stack Engineer

Talentify; San Francisco (CA); On-site; USD 200,000 - 300,000; Full time

Job summary

Talentify is seeking a high-caliber full-stack/product engineer who understands LLMs and agents. The role emphasizes end-to-end ownership, customer interaction, and rapid product iteration.

You will own a product that helps engineers understand why production agents fail and whether fixes work, spanning backend to UI. The ideal candidate has hands-on LLM/agent experience, strong production engineering chops, and the ability to define what to build with minimal specs.

Qualifications

• 3–7 years of full-stack engineering experience.
• Hands-on LLM/agent experience or proven ramp ability.
• Owns systems data layer including backend and UI.
• Strong technical problem solving in ambiguous contexts.
• Excellent written and verbal communication with customers.
• Product instincts and high personal agency.
• Willing to relocate to San Francisco and work five days a week in office.

Skills

Full-stack engineering

LLM/agent experience

Customer interaction

Production engineering

Data layer ownership

Strong problem solving

Ambiguity tolerance

Excellent communication

Product instincts

High agency

Owns product definition

Willing to relocate to SF

Office presence (5 days)

Tools

Figma

Vercel

Datadog

Databricks

Notion

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