← All roles

AI Solutions Engineer (Manufacturing)

Aalo· Manufacturing
Apply on company site
Austin, TXfull-timePosted 4mo ago

About the role

Role focused on building internal factory software and AI-enabled workflows to connect engineering intent with production, quality, and logistics for Aalo Atomics’ manufacturing of reactors.

Responsibilities

  • Spend time with manufacturing teams on the floor, in the trailer, and in the systems they use every day to understand real workflows before designing software around them
  • Build and iterate factory software from first prototype to production through integration, edge-case handling, testing, hardening, rollout, and adoption support
  • Create operator-friendly interfaces that simplify manufacturing work while preserving traceability, auditability, permissions, and source-of-truth data integrity
  • Integrate systems across ION or successor manufacturing platforms, TeamCenter, engineering documents, quality records, inventory, supplier data, and internal AI platform services
  • Build AI-enabled workflows that improve manufacturing procedures, inspection plans, material verification, job routing, as-built documentation, and operational decision-making
  • Review, debug, and refine AI-generated code and workflows to ensure they are useful, maintainable, secure, and safe to operate in manufacturing contexts
  • Capture production data in ways that support manufacturing execution today and engineering optimization, digital twins, and fleet-scale learning over time
  • Work closely with platform engineers to reuse shared AI infrastructure rather than building isolated one-off systems
  • Own meaningful factory software outcomes rather than acting only as a service desk for ad hoc manufacturing requests
  • Help define how Aalo builds in-house enterprise software for a manufacturing company whose systems must span engineering, supply chain, production, quality, logistics, testing, maintenance, and delivery

Qualifications

  • Strong engineering fundamentals
  • You can design systems with clear data models, APIs, service boundaries, integration patterns, and permission models
  • You write clear, maintainable code and can judge whether generated code is correct, secure, scalable, and maintainable
  • You understand the difference between a useful prototype and a production system that real operators can rely on
  • You know how to keep workflow software simple without creating fragile architecture or disconnected data silos
  • Manufacturing and operations mindset
  • You are motivated by software that changes how physical work gets done, not just software that looks good in a demo
  • You are comfortable learning from machinists, manufacturing engineers, quality teams, inventory teams, and operators
  • You care about traceability, revision control, as-built records, material flow, inspection evidence, and operational handoffs
  • You can work from messy reality: incomplete systems, manual workarounds, vendor constraints, edge cases, and urgent production needs
  • High output and follow-through
  • You are comfortable taking incomplete requirements, rough workflows, or painful manual processes and turning them into working systems
  • You handle integrations, stakeholder feedback, production issues, and edge cases without losing momentum
  • You care about adoption and operational value, not just technical novelty
  • You can stay focused on factory software priorities while still integrating with the broader company-wide AI and software platform
  • AI-native working style
  • You already use AI coding agents or agentic development workflows as part of your daily engineering process
  • You have demonstrated interest in AI through real projects, experiments, evaluations, or sustained use of new models and tools
  • You can guide, evaluate, and refine AI-generated code rather than relying on it blindly
  • You think in terms of leverage, fast feedback loops, evaluation, and compounding workflow improvements
  • Team-first mindset
  • You are comfortable being embedded with manufacturing while staying technically connected to the AI and internal software team
  • You communicate clearly with technical and non-technical stakeholders and can bridge shop-floor reality with software architecture
  • You are willing to sit with users, observe workflows, ask basic questions, and build trust through useful systems
  • You optimize for company outcomes, integrated systems, and long-term maintainability rather than narrow ownership boundaries
  • Interest in where this is going
  • You are excited by the idea that manufacturing, engineering, supply chain, quality, and delivery can become a connected software-driven system
  • You want to help build the internal enterprise software that Aalo uses to manufacture reactors at scale
  • You are comfortable working in a role that will evolve as AI tools, factory systems, and Aalo’s manufacturing model become more capable

Skills

Required:System design and architectureProduction-grade codingManufacturing domain understandingAI-native development

Benefits

  • Competitive salary based on technical level
  • Health, Dental, and Vision Insurance
  • Paid Time Off
  • Corporate Gym Membership
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Aalo

Welcome to the dawn of a Second Atomic Age

Creating abundant and dependable clean energy to power humanity for generations.

nuclearclean energyreactorspower plants
Company profileWebsite

More open roles at Aalo