AI Product Engineer: Build Production-Ready AI Apps

Seniorverse

Austin (TX)

Hybrid

USD 80,000 - 110,000

Full time

11 days ago

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Benefits offered by this job

Health Reimbursement (QSEHRA)
PTO: 20–25 days/year
Laptop and paid AI tools

Job summary

Seniorverse is seeking AI product engineers in Austin, TX, joining a small group of grads. You will take tickets from idea to production with AI assistance, ensuring the solution aligns with real user needs and production expectations.

You will review AI-generated code, ask clarifying questions, and document edge cases to guarantee robust delivery. Hybrid work, 40–50 hours weekly, with a strong emphasis on measurable weekly output.

Qualifications

  • Recent degree or graduating by December 2026 in computer science or related field.
  • Built something on your own and can explain who it's for.
  • Uses AI tools daily and checks their work.
  • Able to read code you didn't write and judge if it's correct.
  • Wants a demanding job where output is visible weekly.

Responsibilities

  • Take tickets from idea to production, about five a week once you're up to speed.
  • Use AI agents daily to write code, then review what they wrote against the ticket and user flow.
  • Ask questions about the problem behind a ticket before you build.
  • Find edge cases the ticket didn't mention and document coverage.
  • Confirm your work runs correctly in production.
  • Explain what you shipped: what it does, where it lives, and why it works that way.

Skills

AI tooling proficiency
Code review
Problem solving
Weekly output mindset
Communication

Education

Bachelor's degree in Computer Science or related field

Tools

TypeScript
React
React Native
Node

Job description

Seniorverse is seeking AI product engineers in Austin, TX, joining a small group of grads. You will take tickets from idea to production with AI assistance, ensuring the solution aligns with real user needs and production expectations.

You will review AI-generated code, ask clarifying questions, and document edge cases to guarantee robust delivery. Hybrid work, 40–50 hours weekly, with a strong emphasis on measurable weekly output.

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