HamburgerMenu
hirist

XTGlobal - Artificial Intelligence Engineer - Generative AI

XTGLOBAL INFOTECH LIMITED
Multiple Locations
5 - 6 Years

Posted on: 24/02/2026

Job Description

Description :


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


Location : Hyderabad / Vizag


Years : 5-6 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


The job is for:

Women candidates preferred
info-icon

Did you find something suspicious?

Similar jobs that you might be interested in