Forward Deployed AI Engineer

HTC Global Services; Abu Dhabi; On-site; AED 180,000 - 240,000; Full time

Job summary

HTC Global Services is hiring a Forward Deployed AI Engineer for a 1-year extendable contract in Abu Dhabi, onsite. The role focuses on designing, building, deploying, and improving enterprise-grade AI applications using Agentic AI, LLMs, RAG, MCP, and modern cloud technologies.

You will work across the full AI lifecycle—from solution design and development to deployment, testing, monitoring, and continuous improvement—delivering production-ready AI solutions with security, governance, and

Qualifications

• Design, build, deploy, and continuously improve enterprise-grade AI and agentic AI solutions.
• Develop production-ready AI applications using LLMs, agents, RAG, MCP, and enterprise APIs.
• Collaborate across AI, data, product, and engineering teams to deliver scalable AI systems.

Responsibilities

• Design, build, deploy, and optimize Agentic AI applications.
• Create AI agents that can multi-step reason, call tools, manage context, and support human-in-the-loop workflows.
• Implement RAG pipelines including document ingestion, embeddings, vector search, and source traceability.

Skills

GenAI

Agentic AI

LLMs

Cloud-native

Tools

LangGraph

Semantic Kernel

CrewAI

AutoGen

OpenAI Agents SDK

REST/OpenAPI

Job description

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

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

Role Overview

We are looking for a hands-on Forward Deployed AI Engineer to design, build, deploy, and continuously improve enterprise-grade AI and agentic AI solutions.

The role focuses on developing production-ready AI applications that use LLMs, agents, RAG, MCP, enterprise APIs, and modern cloud technologies. The engineer will work across the complete AI application lifecycle, from solution design and development through deployment, testing, monitoring, and continuous improvement.

Key Responsibilities

• Design, build, deploy, and continuously improve enterprise-grade Agentic AI applications using modern GenAI technologies.
• Build AI agents that can reason across multiple steps, invoke tools and APIs, manage context, handle exceptions, and support human-in-the-loop workflows.
• Design and implement RAG pipelines, including document ingestion, chunking, embeddings, vector search, retrieval optimization, grounding, and source traceability.
• Build MCP-based integrations to connect AI agents with enterprise tools, systems, APIs, and data sources.
• Integrate agents with backend systems using REST/OpenAPI APIs, webhooks, queues, and event-driven architectures.
• Implement structured LLM patterns including tool calling, schema-validated outputs, retries, fallbacks, context management, and guardrails.
• Develop reliable AI workflows using agent frameworks and orchestration patterns such as LangGraph, Semantic Kernel, CrewAI, AutoGen, OpenAI Agents SDK, or equivalent technologies.
• Design and implement multi-agent systems and agent-to-agent communication patterns where appropriate.
• Build AI solutions with appropriate security, privacy, access control, auditability, responsible AI, and governance mechanisms.
• Implement testing and evaluation strategies for AI systems, including golden datasets, regression testing, evaluation metrics, validation workflows, and feedback loops.
• Implement observability, logging, monitoring, versioning, and performance tracking for production AI applications.
• Optimize AI applications for accuracy, reliability, latency, scalability, and cost.
• Develop reusable components, APIs, tools, and AI capabilities that can be consumed across multiple applications.
• Deploy AI applications using modern cloud-native technologies, containers, CI/CD pipelines, and monitoring platforms.
• Collaborate with engineering, product, data, and AI teams to deliver production-ready AI solutions.
• Stay current with emerging developments in Agentic AI, LLMs, MCP, RAG, AI evaluation, and AI engineering practices.

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