The Role
This is not a research role, it s a build-and-ship role. You will lead the design and implementation of AirNxt s AI capabilities, from document understanding to agentic workflows and early fault prediction.
You ll partner closely with our CEO and Data Architect to define what intelligent aviation software actually means in practice.
You will not be buried in infra or tooling. This role is about shipping AI systems that work in production, in the real world.
What Youll Build:
- Design and deploy AI workflows that turn raw maintenance documents into structured, validated data
- Agent-based automation workflows using LangGraph (or equivalent), orchestrating validation, transformation, and human-in-loop approval
- 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
- Build with clear traceability, fallbacks, and an execution path that earns trust from ops teams and regulators
What You Bring
You ve likely done some or all of the following:
- 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
Bonus if you ve touched:
- Aviation, logistics, or other physical/regulated systems
- Graph data (Neo4j, property graphs, entity relationships)
- Safety reporting systems or compliance-heavy workflows
- Smart-contracts or audit-proof data systems
What Success Looks Like in 6 Months
- You ve built an intelligent pipeline that turns raw PDFs into structured, validated records
- Agents are live, automating complex data flows with human oversight where needed
- A predictive model flags early risk conditions based on real-world log and usage data
- You re the technical owner of our AI system, and a respected voice in the team
- Were not guessing, your systems are improving speed, quality, and safety on the ground
What We Offer
- 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
What We Don t Offer
- Endless sprints to nowhere
- AI hype without grounding
- Legacy drag, middle-management layers, or AI theater
- Burnout-as-a-badge or chaos as culture
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About AirNxt
About AirNxt
AirNxt is building the next generation of AI-powered MRO software to transform aviation maintenance, operations, and management. Our platform is designed to be intuitive, scalable, and high-performance , simplifying complex workflows and enhancing efficiency across the aviation industry.
As we scale, we re looking for passionate professionals who thrive in agile environments and are eager to solve real-world aviation challenges using cutting-edge technology and innovative solutions. If that sounds like you, we d love to hear from you!