Job Description

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!

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 You'll 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 We're 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

If you're a builder who codes, simplifies, and cares about execution, this is yours.

We're not looking for a perfect resume. We're looking for the person who can build the system.

If that's you, let's talk.

How to Apply

Click

"Apply Now"

to submit your application directly through Ashby. If you have any questions, reach out to

talents@airnxt.ai

.

AirNxt is an Equal Opportunity Employer.

We welcome applicants from all backgrounds and do not discriminate based on gender, race, disability, or any other protected status. We're committed to fostering a diverse and inclusive team.

Join us and be part of shaping the future of aviation technology!