Aalo

5 days ago

AI Solutions Engineer (Manufacturing)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Build factory software systems that connect engineering intent to real production work for manufacturing microreactors. You’ll design and harden workflows and integrations across manufacturing, including machine shop interfaces, inspection capture, as-built traceability, and production-floor dashboards. Work closely with manufacturing, quality, supply chain, and the AI/internal software team to deliver operator-trusted tools, AI-enabled workflows, and production data that improve over time.

Location: Austin

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Spend time with manufacturing teams on the floor to understand real workflows, edge cases, and operational reality before designing software.
•Build and iterate factory software from prototype to production through integration, 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 manufacturing and enterprise tools, including ION or successor platforms, TeamCenter, engineering documents, quality records, inventory, supplier data, and internal AI platform services.
•Build AI-enabled workflows for manufacturing procedures, inspection plans, material verification, job routing, as-built documentation, and operational decision-making, then review/debug/refine AI-generated code and workflows.

Pay and Benefits

Perks:Health InsuranceDentalVisionPaid LeaveGym Membership

Key Requirements

•Strong engineering fundamentals across data models, APIs, service boundaries, integration patterns, and permission models.
•Write clear, maintainable code and evaluate generated code for correctness, security, scalability, and maintainability.
•A manufacturing and operations mindset focused on traceability, revision control, as-built records, material flow, inspection evidence, and handoffs.
•Experience using AI coding agents/agentic development workflows and the ability to guide, evaluate, and refine AI-generated code.
•Based in the United States and willing to work on-site in Austin, TX, embedded with manufacturing teams in person.

Experience:ManufacturingIndustrial systemsAerospaceEnergyNuclearLogisticsPhysical-world domainsRegulated environments

Skills:CommunicationStakeholder managementCross-functional collaborationAdoption focusEvaluation of AI-generated work

Tech Stack:Backend application developmentScriptingInternal web applicationsWorkflow interfacesRelational databasesDocument-oriented databasesAPIsIntegration servicesService-oriented backend systemsTeamCenterCAD/CAMMachine shop workflowsInspection workflowsAs-built documentationAI modelsCoding agentsAgent harnessesTool orchestrationWorkflow automationBrowser automation

Eligibility

Nationality:US National

Company Brief

Aalo

Develops advanced small nuclear reactors designed to provide clean, reliable, and scalable power for data centers, industrial sites, and the broader electric grid. The company focuses on compact reactor systems and associated deployment infrastructure.

Industry: Nuclear Energy

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Headquarters: Austin, United States

Founded: 2022

Website LinkedIn

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Aalo

5 days ago

AI Solutions Engineer (Manufacturing)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Austin

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Spend time with manufacturing teams on the floor to understand real workflows, edge cases, and operational reality before designing software.
•Build and iterate factory software from prototype to production through integration, 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 manufacturing and enterprise tools, including ION or successor platforms, TeamCenter, engineering documents, quality records, inventory, supplier data, and internal AI platform services.
•Build AI-enabled workflows for manufacturing procedures, inspection plans, material verification, job routing, as-built documentation, and operational decision-making, then review/debug/refine AI-generated code and workflows.

Pay and Benefits

Perks:Health InsuranceDentalVisionPaid LeaveGym Membership

Key Requirements

•Strong engineering fundamentals across data models, APIs, service boundaries, integration patterns, and permission models.
•Write clear, maintainable code and evaluate generated code for correctness, security, scalability, and maintainability.
•A manufacturing and operations mindset focused on traceability, revision control, as-built records, material flow, inspection evidence, and handoffs.
•Experience using AI coding agents/agentic development workflows and the ability to guide, evaluate, and refine AI-generated code.
•Based in the United States and willing to work on-site in Austin, TX, embedded with manufacturing teams in person.

Experience:ManufacturingIndustrial systemsAerospaceEnergyNuclearLogisticsPhysical-world domainsRegulated environments

Skills:CommunicationStakeholder managementCross-functional collaborationAdoption focusEvaluation of AI-generated work

Eligibility

Nationality:US National

Company Brief

Aalo

Industry: Nuclear Energy

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Headquarters: Austin, United States

Founded: 2022

Website LinkedIn