[Hiring] Forward Deployed AI Engineer – Airline Domain Abu Dhabi UAE

Position: Forward Deployed AI Engineer – Airline Domain

Date Posted: 31st October 2026

Industry: Artificial Intelligence & Aviation Technology

Employment Type: Contract (12 Months – Extendable)

Experience: Strong professional experience in the Airline/Aviation domain

Qualification: Not Specified

Salary: AED 28,000 – AED 40,000 per month (Estimated)

Location: Abu Dhabi, United Arab Emirates

Company: eSol Global

Description:

eSol Global is urgently hiring a Forward Deployed AI Engineer to support enterprise AI initiatives within the airline and aviation sector. This 12-month extendable contract is an excellent opportunity for experienced AI professionals who have successfully delivered production-ready Agentic AI solutions in aviation environments.

The ideal candidate will lead the complete AI implementation lifecycle, from gathering business requirements to deploying enterprise-grade AI applications. Applicants should possess extensive expertise in modern AI technologies, backend integrations, and large language model ecosystems while demonstrating a strong understanding of airline operations and business processes.

Key Responsibilities:

• Design, develop, and deploy enterprise-grade Agentic AI applications.

• Gather business requirements and manage end-to-end AI solution delivery through production deployment.

• Build AI-powered solutions using Large Language Models, AI Agents, RAG, Embeddings, and Vector Search technologies.

• Integrate AI applications with enterprise systems using MCP integrations, REST APIs, OpenAPI, Webhooks, and backend services.

• Implement tool calling, structured outputs, AI evaluation frameworks, monitoring solutions, and security guardrails.

• Collaborate with business and technical stakeholders to deliver scalable AI solutions for airline operations.

Requirements:

• Strong professional experience within the Airline or Aviation industry (Mandatory).

• Hands-on experience designing and deploying enterprise-grade Agentic AI applications.

• Strong expertise in Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), Embeddings, and Vector Search.

• Experience with MCP integrations, REST/OpenAPI, Webhooks, and backend integrations.

• Knowledge of tool calling, structured outputs, AI evaluation, monitoring, and AI security guardrails.

• Ability to manage AI projects from business requirement discovery through production deployment.

• Candidates with proven airline-domain experience and production-ready Agentic AI implementations will be preferred.

• Strong knowledge of:

• Large Language Models (LLMs) and Agentic AI.

• RAG, Embeddings, and Vector Search.

• MCP integrations, REST/OpenAPI, Webhooks, and enterprise backend integrations.

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