Artificial Intelligence Engineer

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

Location:

Abu Dhabi, UAE (Work from Office)

Job Summary:

We are looking for a hands‑on AI / ML Engineer with mandatory airline domain experience and a forward‑deployed engineering (FDE) mindset. The candidate should be able to translate business problems into scalable, production‑ready AI solutions, leveraging expertise in Machine Learning, Generative AI, LLMs, RAG, NLP, and Agentic AI.

Key Responsibilities:

• Build and deploy ML, GenAI, LLM/RAG, NLP, and Agentic AI solutions.
• Develop AI applications, including intelligent assistants, recommendation systems, and intelligent automation solutions.
• Rapidly prototype, validate, and productionize AI solutions in collaboration with business stakeholders and engineering teams.
• Integrate AI models with enterprise data sources, applications, and business workflows.
• Develop scalable AI/ML pipelines for model training, evaluation, deployment, and optimization.
• Build RAG-based applications 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 cloud hyperscalers such as AWS, Azure, and Google Cloud.
• Collaborate with airline business and technology teams to identify opportunities for AI-driven automation and process improvement.
• Ensure AI solutions meet enterprise requirements for scalability, security, reliability, and data privacy.

Required Skills:

• Experience: 7+ years of relevant experience in AI/ML engineering, software engineering, or related technical domains.
• Airline Domain: Mandatory hands‑on experience in the airline, aviation, or travel domain, with a clear understanding of airline business processes and systems.
• Programming: Strong proficiency in Python and SQL.
• Machine Learning & Deep Learning: Experience with ML algorithms, deep learning, model training, evaluation, and optimization.
• Generative AI & LLMs: Hands‑on experience building applications using LLMs and Generative AI.
• RAG & NLP: Experience with Retrieval-Augmented Generation (RAG), NLP, embeddings, semantic search, and vector databases.
• AI Frameworks: Experience with LangChain, LlamaIndex, Hugging Face, or equivalent frameworks.
• Agentic AI: Knowledge of AI agents, tool calling, and intelligent workflows.
• API & Integration: Experience developing REST APIs and integrating AI models with enterprise systems.
• Cloud Platforms: Experience deploying AI solutions across AWS, Azure, or Google Cloud.
• DevOps & MLOps: Experience with Docker, CI/CD, MLOps/LLMOps, deployment automation, and monitoring.
• Solution Engineering: Strong FDE-style problem‑solving skills and the ability to convert business requirements into production‑ready solutions.

About Atain:

(http://www.atain.com)

Atain is an enterprise orchestration partner that aligns people, processes, and platforms with AI to redefine work and deliver assured outcomes. It is enabled through the SMART Frameworkdriving superior metrics with AI‑redefined work, the TechBud platform, a GenAI foundation built on zero‑pilot architecture and ISO 42001 standards, a robust partner ecosystem, and deep domain expertise. Atain's Unified Hub continuously senses, predicts, and re‑orchestrates work across people, processes, and platforms to deliver assured outcomes. The centers of skill and scale combine deep expertise with AI to deliver assured outcomes. For more information, visit www.atain.com

Atain is ISO 27001:2013, CMMI SVC Level 5 and ISAE‑3402 compliant for IT, and COPC Certified v6.0, ISO 27001:2013 and PCI DSS 3.2 certified for BPO processes. The organization follows Six Sigma rigor for process improvements.

It is our policy to provide equal employment opportunities to all individuals based on job‑related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non‑discriminatory environment free from intimidation, harassment or bias based upon these grounds.