Applications Integration Engineer
Posted 14 Oct 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 2+ yrs
- Management level
- Individual contributor
No salary listed for this role.
Field of studyComputer Science, Data Science, Engineering, Software Engineering (or related)
Study levelBachelor's
Company Overview
Kairos Power is a new nuclear energy technology and engineering company whose mission is to enable the world’s transition to clean energy, with the ultimate goal to dramatically improve people’s quality of life while protecting the environment. This goal will be accomplished through the commercialization of the fluoride-salt-cooled, high-temperature reactor (FHR) that can be deployed with robust safety, affordable costs, and flexible operation to accommodate the expansion of variable renewables.
Job Summary
Kairos Power is seeking an Applications Integration Engineer embedded directly within the Operations Team in Oak Ridge, Tennessee. This role combines operational problem solving with deeper software and AI development capability. The engineer will work alongside Build Engineers, Operations Engineers, technicians, and leaders to create higher-complexity AI-enabled workflows and bespoke tools using secure capabilities provided by Kairos’s internal Development Team. The mission is not generic software development; it is to solve real problems in reactor build, integration, Test and Activation, fueling, and operations while respecting established engineering, Quality, Licensing, and operational approval authorities.
Responsibilities
- Troubleshoot integration failures, application defects, and data-flow issues across connected systems, and implement appropriate corrective actions.
- Validate application behavior and outputs against defined operational requirements, source data, and acceptance criteria before deployment or release.
- Monitor deployed applications and integrations for reliability, performance, and data-quality issues and support timely remediation.
- Identify high-value operational problems through direct engagement with field teams and translate them into practical AI-enabled solutions.
- Build applications and workflows for work-instruction augmentation, lessons-learned capture, RFI support, configuration monitoring, engineering-change impact analysis, operational dashboards, and related use cases.
- Develop RAG pipelines and application logic that combine controlled enterprise knowledge with operational workflows.
- Integrate applications with approved APIs, MCP servers, model gateways, MES, PLM, ERP, issue-tracking systems, schedules, and other enterprise capabilities.
- Develop structured outputs suitable for controlled downstream systems while preserving human review and approval.
- Prototype rapidly with operational users, observe real use, and iterate based on field feedback.
- Implement testing, evaluation, error handling, source traceability, observability, and appropriate human-in-the-loop controls.