Lead AI Systems Engineer - Dubai HQ

AirNxt; Dubai; On-site; AED 120,000 - 180,000; Full time

Job summary

AirNxt is seeking a passionate AI/ML Developer to lead the design and implementation of cutting-edge AI capabilities in aviation technology. This role emphasizes building real-world systems that enhance efficiency and safety in aviation maintenance, offering the chance to shape the industry with innovative solutions. Successful candidates will have hands-on experience with Python and AI workflows, with opportunities to grow within the company.

Benefits

Competitive salary

Health insurance

Ownership of core product stream

Fast-paced team environment

Qualifications

• 4–8 years of experience building and shipping real-world AI/ML systems.
• Strong Python developer with end-to-end ownership of services.
• Hands-on with LLM workflows and prompt engineering.

Responsibilities

• Lead design and implementation of AI capabilities.
• Develop predictive models based on time-series or log patterns.
• Create workflows that turn raw data into structured records.

Skills

Python

NLP

AI/ML systems

Agent-based automation

Predictive modeling

Time-series analysis

Communication

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 [e-mail].

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!