AI Platform Engineer: Build Shared AI Tools & Infra

Fab2; Austin (TX); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Visa sponsorship

Medical insurance

Paid time off

401(k) retirement plan

Weekly learning & development

Lunches daily

Stocked office kitchen

Job summary

fab2 an early-stage hardware startup is seeking a Software Engineer to build the AI platform behind fab2. You’ll own the infrastructure and agent systems that convert engineering knowledge and workflows into useful tools for teams across fab2.

This greenfield role offers broad ownership across the AI stack, with opportunities to work on cloud and on‑prem compute, shaping how AI is used inside fab2 and across fab operations.

Qualifications

• Strong software engineering fundamentals and experience shipping production systems.
• Comfortable working across frontend, backend, infrastructure, and data.
• Effective with AI coding tools while still able to read, write, debug, and reason about code independently.
• Strong product instincts and an ability to turn ambiguous problems into working systems.
• Strong technical communication and a high degree of ownership.

Responsibilities

• Build the infrastructure for using AI models across cloud providers and our own on-prem compute.
• Develop agents, shared skills, MCP servers, and sandboxed execution environments.
• Create evals and benchmarks to measure where agents work, where they fail, and how to improve them.
• Turn engineering knowledge and repeatable workflows into shared AI tools teams can build on.
• Develop AI systems for automated experimentation, defect detection, engineering analysis, and fab operations.
• Explore systems that can analyze results, propose what to do next, and eventually interact with physical equipment.
• Help shape how AI gets used across Fab2 and inside the fab.

Job description

fab2 an early-stage hardware startup is seeking a Software Engineer to build the AI platform behind fab2. You’ll own the infrastructure and agent systems that convert engineering knowledge and workflows into useful tools for teams across fab2.

This greenfield role offers broad ownership across the AI stack, with opportunities to work on cloud and on‑prem compute, shaping how AI is used inside fab2 and across fab operations.