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

XTGlobal; Hyderabad; Hybrid; INR 2,500,000 - 4,000,000; Full time

Job summary

XTGlobal is seeking an AI / Generative AI Engineer to design, build, and deploy autonomous AI systems using LangChain, LangGraph, and Azure AI services. You will architect multi-agent workflows, integrate LLMs with enterprise data sources, and optimize performance and cost for production systems.

The role requires 4–8 years of experience, hybrid work in Hyderabad/Vizag, and a UK shift aligned schedule. You will collaborate with product, data, and engineering teams to deliver scalable AI

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 automation/orchestration tools like Zapier.
• Solid understanding of REST APIs, authentication, and cloud-native design.

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 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).
• 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.

Skills

Python

LangChain

LangGraph

Agentic AI systems

Tool-based reasoning

REST APIs

Cloud-native design

RAG architectures

Data Lakes

Tools

LangChain

LangGraph

Vector Databases

Azure Cosmos DB

Azure Machine Learning

Azure AI Foundry

Azure Data Lakes

Zapier

Job description

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