Lead AI Systems Engineer - Dubai HQ

AirNxt; Dubai; On-site; AED 720,000 - 1,100,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Career growth opportunities

Job summary

AirNxt is building the next generation of AI-powered MRO software to transform aviation maintenance operations. This build-and-ship role leads the design and implementation of AI capabilities from document understanding to agentic workflows and early fault prediction.

You'll partner with the CEO and Data Architect to define what intelligent aviation software means in practice, shipping AI systems that operate in production and earn trust from ops teams and regulators.

Qualifications

• Strong Python developer with ability to own services end-to-end.
• Hands-on with LLM workflows, prompt engineering and chaining frameworks.
• Integrated LLMs embeddings and vector search into real-world workflows.
• Designed NLP chains for document understanding with schema enforcement.

Responsibilities

• Design and deploy AI workflows that turn raw maintenance documents into structured validated data.
• Develop agent-based automation workflows orchestrating validation, transformation and human-in-loop approval.
• Build predictive models based on time-series or log patterns to flag potential issues.
• Implement NLP LLM chains that extract meaning from technical documents and pilots.
• Deliver an execution path with clear traceability and regulatory trust.

Skills

Python

LLM workflows

End-to-end services

Production AI systems

Documentation and traceability

Tools

LangGraph

LangChain

Haystack

Neo4j

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 were 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 wed love to hear from you!

The Role

This is not a research role its a build-and-ship role. You will lead the design and implementation of AirNxts AI capabilities from document understanding to agentic workflows and early fault prediction.

Youll 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

Youve likely done some or all of the following:

• 48 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 mindsetyou debug in production and think in first principles

• Clear communicator who thrives in lean fast-paced teams without layers of abstraction

Bonus if youve 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

• Youve 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

• Youre 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 thats 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 Dont 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 youre a builder who codes simplifies and cares about execution this is yours.

Were not looking for a perfect resume. Were looking for the person who can build the system.

If thats you lets talk.

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. Were committed to fostering a diverse and inclusive team.

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