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Forward Deployed AI Engineer – Airline Domain

Job in Abu Dhabi, UAE/Dubai
Listing for: eSol Global
Full Time position
Listed on 2026-11-02
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 450000 - 600000 AED Yearly AED 450000.00 600000.00 YEAR
Job Description & How to Apply Below

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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