AI / Generative AI Engineer (Agentic Systems & Azure AI)

AI / Generative AI Engineer (Agentic Systems & Azure AI)

Hyderabad / Vizag / Hybrid

Fulltime

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

4-8 years experience

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