AI Tech Lead - Generative AI / Agentic AI

Suzva Software Technologies; Hyderabad; Presencial; INR 400.000 - 700.000; Jornada completa

Descripción de la vacante

Suzva Software Technologies is seeking an AI Tech Lead with hands-on expertise in Agentic AI, Generative AI, and building AI agents. The role requires mastery of LangGraph, MCP, CrewAI/AutoGen, and strong Python and cloud deployment skills. This onsite position is based in Hyderabad/Bangalore and involves a 6-month contract with potential extension.

Openings are 10+ and resources are bench-focused. Candidates should be available for onsite work during IST hours and have a track record of

Formación

• Hands-on experience with Agentic AI and Generative AI.
• Experience with LangGraph, MCP, CrewAI/AutoGen.
• Cloud deployment experience on AWS with strong Python development.

Responsabilidades

• Lead the development of AI agent applications for on-site delivery.
• Collaborate with product and engineering teams to implement Generative AI features.
• Mentor and guide bench resources for rapid project execution.

Conocimientos

Agentic AI

Generative AI

LangGraph

Model Context Protocol

CrewAI

AutoGen

Python

AWS

Kubernetes

Descripción del empleo

Job Summary

AI Tech Lead - Generative AI / Agentic AI

Experience: 10+ Years

Location: Hyderabad, Bangalore

Work Mode: Onsite

Working Hours: 2:00 PM - 10:30 PM IST

Contract: 6 months, extendable

Openings: 10+

Important: Bench resources only.

We are looking for an experienced AI Tech Lead with strong hands‑on expertise in Agentic AI, AI agents and Generative AI application development. Candidates must have practical experience building agents using LangGraph, AutoGen and/or CrewAI.

Main Closure Skills

• Agentic AI
• Generative AI
• LangGraph
• Model Context Protocol (MCP)
• CrewAI
• AutoGen
• Python
• AWS
• Kubernetes

Critical Requirement

• Prioritize hands‑on Agentic AI candidates with strong LangGraph, MCP, CrewAI/AutoGen, Python and cloud deployment experience.
• Generic AI/ML profiles are not suitable.

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