AI Engineer - Airline Domain

HTC Global Services; Abu Dhabi Emirate; On-site; AED 223,200 - 334,800; Full time

Job summary

HTC Global Services is looking for an experienced AI Engineer for a 1-year extendable contract in Abu Dhabi, UAE. The role involves building and maintaining LLM driven applications, developing MCP tools with Python, and designing scalable architectures.

Qualified candidates should have strong API development skills, experience with frontend frameworks like Angular or React, and a solid understanding of distributed systems. Interested candidates can apply by sending their CV to [e-mail].

Qualifications

• Strong understanding of API contracts and schema-driven development.
• Experience with session management and conversation memory using Redis.
• Knowledge of prompt engineering and agent orchestration patterns.

Responsibilities

• Build and maintain LLM driven enterprise applications in real production.
• Implement monitoring, logging, and tracing for AI workflows.
• Design scalable architectures capable of supporting high concurrency.

Skills

Angular

React

Python

API and middleware development

LLM integrations

MCP / FastMCP

LangChain

LangGraph

Redis

Distributed systems

Job description

Exciting Opportunity Alert! HTC Global Services is hiring AI Engineer for an 1-year extendable contract in Abu Dhabi, UAE (Onsite).

HTC Global Services is a leading CMM level 5 global provider of innovative IT and Business Process Services and Solutions since 1990 with headquarters in Troy, Michigan, USA.

Key Responsibilities

• Build and maintain LLM driven enterprise level applications in real production environment.
• Design and develop MCP tools using Python, FastAPI, or similar frameworks.
• Maintain multiple MCP services and LLM integrations.
• Develop Angular-based conversational user interfaces with real-time updates.
• Design scalable architectures capable of supporting high concurrency.
• Implement monitoring, logging, and tracing for AI workflows.
• Continuously optimize latency, cost, and response quality.
• Implement and support multi-agent architectures with context sharing and orchestration.
• Implement WebSocket-based communication for streaming AI responses.
• Use Redis for caching, session management, and conversation memory.
• Maintain scalable services for conversation state, workflow, and memory handling.
• Strong understanding of API contracts and schema-driven development.
• Understanding of Prompt engineering, Structured outputs, Tool calling patterns, Model limitations and failure modes.
• Good Understanding of Agent orchestration patterns, Role-based agents, Task decomposition, Coordination and fallback mechanisms.

Technical Skills

• Frontend
  • Angular / React
  • RxJS and reactive programming
• Backend & API
  • Python
  • API and middleware development
• AI & Platform
  • LLM integrations and tool calling
  • MCP / FastMCP
  • LangChain, LangGraph
• Systems & Infrastructure
  • Distributed systems and scalability concepts
  • Redis (caching, session, memory)
  • Vector databases: Pinecone or similar

Interested candidates please do share your updated CV to [e-mail] mentioning your Current CTC, expected CTC and notice period details.