Kairos Power

Applications Integration Engineer

Oak Ridge, TN · Mid · Full-time

Sponsorship not specifiedDetected 23 hours ago

PythonGitSQLVector DatabasesAWSGCPAzureMachine LearningData ScienceLLMsRAGAI OrchestrationCybersecurityERPRoboticsCommunicationProblem Solving

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Cap-exempt (no lottery)0

Sponsors this role80

Entry-level history0

PERM / green-card track0

Lottery odds40

Fits your clock70

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About the role

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 mission is not generic software development

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.
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.
Develop structured outputs suitable for controlled downstream systems while preserving human review and approval.
Implement testing, evaluation, error handling, source traceability, observability, and appropriate human-in-the-loop controls.
Help Build Engineers and Operations Engineers develop their own lightweight tools and raise the AI fluency of the broader Operations organization.

Requirements

Typically 2+ years of software, data, automation, AI/ML, or technically sophisticated engineering experience
Hands-on experience integrating applications with APIs, databases, or other software systems and troubleshooting application, data, or integration issues.
Knowledge, Skills & Abilities:
Maintain strong understanding of build execution and remain physically connected to the work.
Bachelor's degree in Computer Science, Software Engineering, Data Science, Engineering, or another technical discipline with strong demonstrated software capability, or an equivalent combination of relevant education and experience.
exceptional new graduates with substantial project portfolios may be considered.
Hands-on experience building and deploying LLM applications, RAG systems, agents/tool-use workflows, or AI-enabled automation.
Ability to validate, transform, and reconcile data exchanged among applications and enterprise systems.

Nice to have

Familiarity with one or more LLM orchestration or retrieval frameworks, vector databases, structured-output/schema tools, AI evaluation or tracing tools, and cloud or containerized deployment environments is preferred.
Familiarity with MCP client/server concepts or comparable approaches for integrating AI applications with tools and enterprise systems is preferred.
Familiarity with cloud services and containerized application deployment in AWS, Azure, GCP, or comparable environments is preferred.
Familiarity with operational enterprise systems and engineering data such as MES, PLM, ERP, issue-tracking/work-management systems, Git repositories, CAD/BOM data, or comparable systems and data sources is preferred.
Experience in industrial operations, manufacturing, aerospace, energy, construction, robotics, hardware integration, or other physical operations is strongly preferred.

Skills

Ability to trace and troubleshoot issues across application, API, data, and enterprise-system boundaries.
Ability to translate operational requirements into testable application behaviors and acceptance criteria.
Ability to work with ambiguous operational requirements and turn them into usable prototypes quickly.
Ability to communicate with engineers and technicians and learn unfamiliar technical domains rapidly.
Strong debugging, decomposition, and rapid-prototyping skills.
Ability to distinguish a platform problem from an application problem.
Comfort with incomplete data and imperfect enterprise interfaces.
Strong security and configuration-control judgment.
Strong Python proficiency and working knowledge of APIs, JSON, SQL, Git, testing, and modern software development.
Ability to teach and enable non-software engineers rather than becoming a bottleneck.
Excellent technical communication and documentation.
Remaining in a stationary position, often standing, or sitting for prolonged periods

Compensation

Competitive compensation packages

Visa & Work Authorization

Note: You are applying for a position that is located in a facility that handles information that is subject to export control restrictions by the Department of Energy under 10 CFR Part 810

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This listing is sourced directly from Kairos Power's careers page and normalized into a canonical job model.