Forward Deployed AI Engineer – Airline Domain

eSol Global; Abu Dhabi; On-site; AED 450,000 - 600,000; Full time

Job summary

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 targets professionals with production-ready Agentic AI solutions in aviation environments.

The ideal candidate will lead the complete AI lifecycle from requirements gathering to deployment, demonstrating expertise in LLMs, AI Agents, RAG, embeddings, and vector search, plus MCP integrations and backend systems.

Qualifications

• Mandatory airline/aviation industry experience.
• Hands-on design and deployment of enterprise-grade Agentic AI applications.
• Strong expertise in LLMs, AI agents, 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 guardrails.
• Ability to manage AI projects from discovery to production deployment.
• Airline-domain experience with production-ready AI implementations preferred.

Responsibilities

• Design, develop and deploy enterprise-grade Agentic AI applications for aviation.
• Lead end-to-end AI delivery from requirements gathering to production rollout.
• Build AI powered solutions using LLMs, agents, RAG, embeddings and vector search.
• Integrate AI apps with enterprise systems via MCP, REST/OpenAPI and Webhooks.
• Implement tool calling, monitoring, evaluation frameworks and security guardrails.
• Collaborate with stakeholders to deliver scalable airline operations AI solutions.

Skills

Agentic AI

LLMs

AI Agents

RAG

Vector Search

MCP Integrations

REST/OpenAPI

Webhooks

Backend Integrations

Tool Calling

AI Evaluation

Monitoring

Security Guardrails

Project Management

Airline Domain Knowledge

Tools

OpenAPI

REST API

Webhooks

Backend Services

Job 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.