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Salary
$180k – $270k per year
Location
In office (San Francisco)
Seniority
Middle · 3+ years exp

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Oct 19, 2026. UMATR scores B on the Alion truth index.

Overview
Company
Impact
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Specialized recruitment for ML, Data, and Software Engineering across the UAE, KSA, and USA. UMATR connects the world's top 1% of tech talent with the companies ready to hire them.

Full Stack Engineer - AI

$180k-$270k base + equity | San Francisco | 3-7 years

About the Company

Our client is a fast-growing technology company building AI-native products used by FTSE 500 businesses.

The business has grown roughly 10x over the last year, while the engineering team has remained extremely lean. They're now hiring engineers who want to have a big impact on the product and take real ownership from day one.

You'll be joining a small, high-output engineering team where your work won't get lost in layers of process. You'll have the opportunity to take ideas from architecture → build → production and see the impact directly.

It's a fast-paced, high-intensity environment. They're looking for people who move quickly, take ownership and naturally go and build things.

The Role

We're looking for a Full Stack Engineer with a strong focus on AI.

You'll work across the stack from customer-facing product features to the AI agents powering them.

You'll own systems through architecture, development, deployment and production, working on challenging problems around AI agents, large-scale data and reliable production systems.

This is a hands-on role for someone who enjoys building rather than just maintaining existing systems.

What We're Looking For

  • 3-7 years of software engineering experience
  • Strong production experience with TypeScript, NestJS and React
  • Experience deploying and operating applications on AWS
  • Has built and shipped AI agents into production
  • Strong understanding of system design and production engineering
  • Has owned features from architecture through deployment
  • Comfortable debugging and resolving real production issues
  • Strong software engineering fundamentals

Bonus Points

  • Experience building LLM evaluation frameworks
  • Experience with feedback loops or self-improving AI systems
  • Experience working with large datasets
  • Terraform / infrastructure-as-code experience
  • Strong observability experience
  • Experience with Cursor, Claude Code, Copilot or similar

The Type of Engineer We're Looking For

We're particularly interested in high-agency builders who:

  • Have built products outside of work
  • Have shipped side projects or open-source work
  • Have taken an idea from 0 → 1
  • Have identified a problem and solved it without being asked
  • Moves quickly and learns quickly
  • Brings ideas to the team rather than waiting for instructions

We're not looking for someone who just executes tickets.

We want engineers who see something, take ownership and go build it.

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