Senior AI Engineer- Data

• *Junior AI Engineer** with 4 **\+ years of experience**

• *This position needs travel to Dubai for 3 months initially and possible extension beyond that. T** **he candidate will have to be fine with frequent travel to Dubai as requested by the customer.**

• *Overview**
• -----------

Design, develop, and deploy AI agents that automate business processes using Large Language Models (LLMs), agent orchestration frameworks, Retrieval\-Augmented Generation (RAG), and enterprise integrations. The role focuses on building scalable, secure, and production\-ready AI solutions on Azure.

• *Key Responsibilities**
• -----------------------

• Develop and deploy AI agents and multi\-agent workflows.
• Configure, optimize, and evaluate LLMs for business use cases.
• Design and implement RAG\-based knowledge retrieval solutions.
• Integrate AI agents with APIs, databases, and enterprise applications.
• Build tool\-calling and workflow automation capabilities.
• Monitor, test, and improve agent performance, reliability, and cost efficiency.
• Deploy AI solutions using Azure services and CI/CD practices.

• *Must Have Skills**
• -------------------

### **AI \& GenAI**

• Azure AI Foundry
• Azure OpenAI Service
• LLM Applications (GPT, Claude, Llama, Gemini)
• Prompt Engineering
• RAG Architecture

### **Programming**

• Python
• REST APIs
• JSON/YAML

### **Agent Frameworks**

• LangChain
• LangGraph
• Semantic Kernel
• AutoGen / CrewAI

### **Azure \& Cloud**

• Azure AI Search
• Azure Functions / App Services
• Azure Key Vault
• Git/GitHub

### **Data \& Retrieval**

• Vector Databases (Pinecone, ChromaDB, FAISS, Azure AI Search)
• Embeddings and Knowledge Retrieval

• *Good to Have Skills**
• ----------------------

• Microsoft Copilot Studio
• LangSmith, Prompt Flow
• Docker \& Kubernetes
• Azure Databricks
• Microsoft Fabric
• SQL \& PySpark
• ServiceNow, Jira, Salesforce, Teams integrations
• LLMOps and AI Observability

• *Nice to Have Skills**
• ----------------------

• GraphRAG
• MCP (Model Context Protocol)
• Fine\-Tuning LLMs
• Multi\-Agent Architectures
• AI Governance \& Responsible AI
• Machine Learning / Deep Learning fundamentals
• JavaScript/TypeScript or C\#

• *Behavioral Requirements**
• --------------------------

• Strong problem\-solving and analytical skills.
• Excellent communication and stakeholder management.
• Ability to translate business requirements into AI solutions.
• Self\-driven, innovative, and collaborative mindset.
• Experience working in Agile development environments.

• *Preferred Experience**
• -----------------------

• 4\+ years of software engineering experience.
• 2\+ years in Generative AI or AI agent development.
• Hands\-on experience with Azure OpenAI and Agent Frameworks.
• Experience building production\-grade RAG and AI automation solutions.