Founding Full-Stack Engineer, AI Brand Intelligence

Getclera

Los Angeles (CA)

On-site

USD 140,000 - 210,000

Full time

14 days+

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Job summary

Unusual is seeking a Founding Engineer — Full Stack to help brands understand how LLMs talk about them and influence decisions. You’ll join a founding team building AI-powered brand intelligence at the intersection of AI research, product, and engineering.

Your work will shape how customers reason about AI capabilities and how we ship end-to-end features in a fast-paced startup environment. You will own problems end-to-end, maintain a close feedback loop with customers and the exec team, and

Qualifications

  • 1+ years of experience on engineering teams (2+ preferred).
  • You are eager to adopt and adapt to new engineering tooling, including AI-powered coding tools.
  • You have experience with working with customers directly.
  • You are full-stack, comfortable working from customer-facing UI all the way down to infrastructure.

Responsibilities

  • Own problems end-to-end – from high level customer insight all the way to research and infrastructure.
  • Keep a close feedback loop with customers and the executive team, and ship fast.
  • Help shape a new engineering team at the dawn of a new kind of software development.
  • Regularly reinvent the best patterns and practices for working alongside agents on a team.

Skills

Founding engineer
Full-stack
Customer-facing
Startup experience
Agentic systems
Research experience (bonus)

Tools

React
Python
Terraform
AWS

Job description

Unusual is seeking a Founding Engineer — Full Stack to help brands understand how LLMs talk about them and influence decisions. You’ll join a founding team building AI-powered brand intelligence at the intersection of AI research, product, and engineering.

Your work will shape how customers reason about AI capabilities and how we ship end-to-end features in a fast-paced startup environment. You will own problems end-to-end, maintain a close feedback loop with customers and the exec team, and

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