Intern role focusing on EPM implementation projects for financial departments at Klee Performance. Involvement in various tasks including modeling, integration, and training.
About the role
- Lead the design and implementation of AirNxt’s AI capabilities, from document understanding to agentic workflows and early fault prediction
- Partner closely with our CEO and Data Architect to define what “intelligent aviation software” actually means in practice
- Design and deploy AI workflows that turn raw maintenance documents into structured, validated data
- Develop lightweight predictive models based on time-series or log patterns that flag potential issues before they become unscheduled events
- Implement NLP + LLM chains that extract meaning from technical and regulatory documents, pilot logs, work orders, and assist in summarizing or generating checklists
Requirements
- 4–8 years of experience building and shipping real-world AI/ML systems (not just prototypes or research)
- Strong Python developer with ability to own services end-to-end
- Hands-on with LLM workflows, prompt engineering, and chaining frameworks (LangGraph, LangChain, Haystack, or similar)
- Integrated LLMs, embeddings, and vector search into real-world workflows
- Designed custom NLP chains for document understanding, with schema enforcement and confidence scoring
- Working knowledge of time-series or anomaly detection (e.g., Prophet, LSTM, transformers)
- High ownership mindset—you debug in production and think in first principles
- Clear communicator who thrives in lean, fast-paced teams without layers of abstraction
Benefits
- Competitive salary
- Health insurance
- The chance to own a core product stream from the start, and grow into Head of AI if that’s your path
- Early access to problems that are hard, real, and high-impact
- A team that moves fast, thinks clearly, and backs each other
- A mission that matters: keep aircraft safer, smarter, and better maintained
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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