Airline AI Engineer: GenAI, LLMs & RAG Specialist

Atain; Abu Dhabi Emirate; On-site; AED 300,000 - 540,000; Full time

Job summary

Atain seeks a hands-on AI/ML Engineer with mandatory airline domain experience to translate business problems into scalable, production-ready AI solutions. You will leverage ML, Generative AI, LLMs, RAG, NLP, and Agentic AI to deliver enterprise-grade applications.

You will build AI-powered assistants, recommendation systems, and automation workflows, integrating models with enterprise data and business processes, while ensuring security and data governance across AWS, Azure, and Google Cloud.

Qualifications

• 7+ years of hands-on AI/ML engineering, software engineering, or related technical domains.
• Airline, aviation, or travel domain experience with understanding of airline business processes.

Responsibilities

• Build and deploy ML, GenAI, LLM/RAG, NLP, and Agentic AI solutions at scale.
• Develop AI applications including intelligent assistants, recommendation systems, and intelligent automation.
• Prototype, validate, and productionize AI solutions with business stakeholders and engineering teams.
• Integrate AI models with enterprise data sources, applications, and workflows.
• Create scalable AI/ML pipelines for training, evaluation, deployment, and optimization.
• Build RAG-based apps using LLMs, embeddings, vector search, and enterprise knowledge sources.
• Develop AI agents and agentic workflows to automate complex business processes.
• Deploy, monitor, and optimize AI solutions across AWS, Azure, and Google Cloud.
• Collaborate with airline teams to identify AI-driven automation opportunities.
• Ensure solutions meet scalability, security, reliability, and data privacy requirements.

Skills

Python

SQL

Airline domain experience

ML / DL

Generative AI

LLMs

RAG

NLP

LangChain

LlamaIndex

Hugging Face

Agentic AI

REST APIs

Cloud platforms

DevOps / MLOps

CI/CD

Tools

Docker

CI/CD

MLOps

LLMOps

Job description

Atain seeks a hands-on AI/ML Engineer with mandatory airline domain experience to translate business problems into scalable, production-ready AI solutions. You will leverage ML, Generative AI, LLMs, RAG, NLP, and Agentic AI to deliver enterprise-grade applications.

You will build AI-powered assistants, recommendation systems, and automation workflows, integrating models with enterprise data and business processes, while ensuring security and data governance across AWS, Azure, and Google Cloud.