Hiring Senior AI/ML Engineer at EPAM Hyderabad Location

TymblHub

Hyderabad

Presencial

INR 4.000.000 - 8.000.000

Jornada completa

14 días+

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Descripción de la vacante

TymblHub is hosting a face-to-face hiring drive in Hyderabad for Senior / Lead AI Engineer roles focused on GenAI, Agentic AI, and Enterprise AI Engineering. The event targets experienced professionals with 8+ years and readiness for on-site interviews on 10th October 2026.

Regional location details will be shared after screening. Candidates should bring updated resumes and be prepared for in-person technical discussions.

Formación

  • Eight-plus years of professional experience in GenAI/AI engineering or related field.

Responsabilidades

  • Design and deploy enterprise-scale GenAI and Agentic AI solutions.
  • Build and optimize RAG platforms and multi-agent architectures.
  • Develop AI applications using Azure AI Foundry / Microsoft AI Foundry.
  • Integrate AI solutions with enterprise systems and cloud services.
  • Drive AI engineering governance, security, and Responsible AI adoption.
  • Lead technical discussions and solution design with cross-functional teams.

Conocimientos

Python
LangChain
LangGraph
Large Language Models (LLMs)
Generative AI (GenAI)
Retrieval-Augmented Generation (RAG)
Agentic AI / Multi-Agent Systems
Azure AI Foundry / Microsoft AI Foundy
Docker
Kubernetes
CI/CD
Cloud Platforms
API Integration

Herramientas

Azure AI Foundry / Microsoft AI Foundry
AWS Bedrock
Databricks Mosaic AI
Gemini Enterprise Agent Platform / Agent Studio
Snowflake Cortex Agents

Descripción del empleo

**Face-to-Face Hiring Drive | Senior / Lead AI Engineer (GenAI & Agentic AI)****Location:** Hyderabad **Experience:** 8+ YearsWe are conducting a Face-to-Face Hiring Drive in Hyderabad on **10th October 2026** for experienced professionals specializing in Generative AI, Agentic AI, and Enterprise AI Engineering. **Location details for the drive will be shared after the initial screening call. Limited interview slots are available, so hurry up and connect with me on the contact number below to get your profile screened.****Skills Required*** Python* LangChain* LangGraph* Large Language Models (LLMs)* Generative AI (GenAI)* Retrieval-Augmented Generation (RAG)* Agentic AI / Multi-Agent Systems* Azure AI Foundry / Microsoft AI Foundry* Docker* Kubernetes* CI/CD* Cloud Platforms* API Integration**Key Responsibilities*** Design and deploy enterprise-scale GenAI and Agentic AI solutions.* Build and optimize RAG platforms and multi-agent architectures.* Develop AI applications using Azure AI Foundry / Microsoft AI Foundry.* Integrate AI solutions with enterprise systems and cloud services.* Drive AI engineering best practices, governance, security, and Responsible AI adoption.* Lead technical discussions and solution design with cross-functional teams.**Preferred Experience*** Azure AI Foundry / Microsoft AI Foundry* AWS Bedrock, AgentCore, AgentBricks* Databricks Mosaic AI* Gemini Enterprise Agent Platform / Agent Studio* Snowflake Cortex Agents**Preferred Qualifications*** Background in Data Engineering, Data Science, or Software Engineering.* Strong stakeholder management and communication skills.* Experience leading AI projects and mentoring engineering teams.**Interview Details*** Mode: Face-to-Face* Date: 10th October 2026* City: Hyderabad**Location details for the drive will be shared after the initial screening call. Limited interview slots are available, so hurry up and connect with me on the contact number below to get your profile screened.**Interested candidates can share their updated resume at **Prasad\\_Taware@epam.com** or call /WhatsApp-> **+91 7709618055**.Join my WhatsApp group for regular job updates: **WhatsApp Group:** https://chat.whatsapp.com/CmPuXCHzTXy7cLhZqGgGPI**Keywords:** GenAI, LLM, RAG, Agentic AI, Multi-Agent Systems, LangChain, LangGraph, Python, Azure AI Foundry, Microsoft AI Foundry, AWS Bedrock, Databricks Mosaic AI, Snowflake Cortex Agents, Kubernetes, Docker, CI/CD, AI Engineering, AI Architect, Lead AI Engineer, Generative AI.
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