AI Tech Lead/ Team Lead

AI / Generative AI Tech Lead (Agentic Systems & Azure AI)

Hyderabad / Vizag - WFO Hybrid

UK Shift: 2:30 PM - 11:30 PM IST

Notice Period : Immediate to 15 days

6-12 Years total experience

3-4 Years with AI Technologies

Job Summary
We are seeking a highly skilled AI / Generative AI Engineer with strong experience in Python-based LLM frameworks, agentic architectures, and Azure AI services.
The ideal candidate will design, build, and deploy intelligent, autonomous AI systems using LangChain, LangGraph, vector databases, and Azure ML/AI Foundry, while integrating enterprise data platforms and automation tools.

Key Responsibilities
Design and develop agentic AI applications using Python, LangChain, and LangGraph
Build and orchestrate multi-agent workflows, tool calling, memory, and planning systems
Integrate LLMs with enterprise data sources using Vector Databases and Azure Cosmos DB
Develop and deploy models using Azure Machine Learning and Azure AI Foundry
Implement RAG (Retrieval Augmented Generation) pipelines using vector stores and data lakes
Work with Azure Data Lakes and structured/unstructured data for AI workloads
Integrate AI workflows with automation tools (Zapier, APIs, webhooks, SaaS platforms)
Optimize performance, scalability, and cost for production AI systems
Ensure responsible AI practices including security, privacy, and governance
Collaborate with product, data, and engineering teams to translate business needs into AI solutions

Required Skills & Qualifications
Strong programming experience in Python
Hands-on experience with LangChain and LangGraph
Proven experience building agentic AI systems and tool-based reasoning workflows
Experience with Vector Databases (e.g., FAISS, Pinecone, Weaviate, Chroma, Azure AI Search)
Working knowledge of Azure Cosmos DB
Experience with Azure Machine Learning and Azure AI Foundry
Strong understanding of RAG architectures
Experience working with Data Lakes and large-scale data pipelines
Familiarity with Zapier or similar automation/orchestration tools
Solid understanding of REST APIs, authentication, and cloud-native design

Preferred / Nice to Have
Experience with OpenAI / Azure OpenAI models
Knowledge of LLMOps / MLOps practices
Exposure to Docker, CI/CD pipelines
Experience with monitoring and evaluating LLM performance
Background in enterprise or regulated environments