Senior AI Engineer- Data

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.

• 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.

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

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

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

• 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.

• 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.