Refinery Inspector Jobs in Austin, TX (NOW HIRING)

Job Summary:
Aalo Atomics is pioneering a new era in clean energy with innovative nuclear power solutions. They are seeking an AI Solutions Engineer - Manufacturing to develop internal software systems that enhance manufacturing processes, ensuring better traceability and efficiency in reactor production.
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:
Required:
• 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
Preferred:
• Experience in manufacturing, industrial systems, aerospace, energy, nuclear, hardware, logistics, or other physical-world domains
• Experience with MES, ERP, PLM, QMS, inventory, work-order, or factory execution systems
• Familiarity with ION, TeamCenter, CAD/CAM, machine shop workflows, inspection workflows, or as-built documentation
• Experience working in regulated, high-reliability, audit-sensitive, or compliance-sensitive environments
• Background in internal tools, integrations, workflow software, operational systems, or technical business processes
• Experience building software used by non-software teams in production environments
Company:
Aalo Atomics manufactures and develops nuclear power plants for clean energy production. Founded in 2023, the company is headquartered in Austin, USA, with a team of 51-200 employees. The company is currently Growth Stage.