AI Solutions Engineer (Manufacturing)

AI Solutions Engineer - Manufacturing Aalo Atomics is pioneering a new era in clean energy with factory-fabricated microreactors designed to deliver affordable, scalable, and reliable nuclear power. Our mission is to make nuclear energy globally accessible, starting with the Aalo-1, a 10 MWe reactor leveraging cutting-edge safety, modularity, and efficiency. Based in Austin, TX, we're rapidly growing as we work to deploy the world's first fleet of advanced microreactors. Join us and help revolutionize energy for a sustainable future. We're hiring an AI Solutions Engineer - Manufacturing to build the internal software systems that help Aalo manufacture reactors faster, safer, and with better traceability. At Aalo, AI and software are becoming part of the operating system of the company. This role focuses on manufacturing: the factory workflows, integrations, interfaces, data capture, and AI-enabled tools that connect engineering intent to real production work on the floor. This role reports into Aalo's AI and internal software team for technical management, architecture, and platform consistency, while being embedded with and accountable to Manufacturing. The purpose of that structure is deliberate: manufacturing needs dedicated software capacity, and the resulting systems need to integrate cleanly with the broader enterprise architecture rather than becoming another isolated tool. You will work closely with manufacturing engineering, machinists, quality, supply chain, logistics, engineering, and the broader AI team to turn real factory workflows into production software. Your job is to understand how work actually happens, build systems that operators trust, and make sure manufacturing software is not an afterthought. This is a forward-deployed software and systems engineering role with strong manufacturing workflow, integration, productization, and AI-native development responsibilities. Examples of the systems and workflows this role may touch include: Custom factory interfaces on top of ION or successor manufacturing systems Machine shop workflows for job queues, work-center filtering, material verification, inspection capture, and operator signoffs TeamCenter, CAD, drawing, model, revision, and manufacturing procedure integrations As-built traceability across parts, serial numbers, materials, inspection records, nonconformances, and delivery data packagesAI-assisted manufacturing procedures, work instructions, inspection plans, and approval workflows Quality, receiving, inventory, kitting, supplier, and material flow systems Production-floor dashboards for open jobs, bottlenecks, work centers, and execution status Automated data capture that feeds engineering feedback loops, design optimization, digital twins, and future fleet manufacturing improvements Integrations across manufacturing, engineering, procurement, quality, logistics, testing, maintenance, and customer delivery workflows Long-term evolution from vendor-centric factory tooling toward Aalo-owned internal enterprise software Common technology categories and engineering patterns in the stack include: Backend application development and scripting Internal web applications and workflow interfaces Relational and document-oriented databasesAPIs, integration services, and service-oriented backend systems Enterprise system integrations including manufacturing, PLM, document, procurement, and quality systemsAI models, coding agents, agent harnesses, tool orchestration, and workflow automation Browser automation, data pipelines, background jobs, and operational glue across internal systems Containers, CI/CD, infrastructure as code, and internal deployment patterns Shared platform services for observability, evaluation, identity, secure model access, and auditability Cloud platforms, secure storage, enterprise authentication, secrets management, and permission boundaries