Generative AI Engineer

TalentBridge; Hyderabad; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

TalentBridge in Hyderabad seeks a Senior AI Engineer to design and scale production-grade Generative AI and Agentic AI solutions. You will build MCP servers, model-serving infra, and integrate LLM-powered apps with enterprise APIs.

You will deploy AI on AWS, work with EKS and SageMaker equivalents, and optimize systems for performance, latency, and cost while collaborating with DevOps on cloud-native deployments.

Qualifications

• 7+ years of AI/ML experience
• Strong Python development and ML deployment skills
• Experience with Generative AI and agentic AI concepts

Responsibilities

• Design and develop Agentic AI & Multi-Agent systems
• Build MCP Servers and model-serving infrastructure
• Develop LLM-powered applications, RAG pipelines, copilots & autonomous agents
• Build scalable AI/ML pipelines using Python
• Deploy AI solutions on AWS
• Work with EKS/ECS, SageMaker, Bedrock, EC2, S3 & Lambda
• Optimize AI systems for performance, scalability, latency & cost
• Implement LLM evaluation, grounding and safety frameworks
• Integrate AI solutions with enterprise systems and APIs
• Collaborate with DevOps teams on cloud-native AI deployments

Skills

Python

AWS

GenAI

Agentic AI

LLM

MCP Server

RAG

Vector DB

EKS

PyTorch

Job description

Experience: 7+ years

Work Mode: 5 Days Work From Office

Notice Period: Immediate to 15 Days

Interview Process: 4 Rounds

We’re looking for a Senior AI Engineer to build and scale production-grade Generative AI and Agentic AI solutions for an exciting opportunity in Hyderabad.

What You’ll Work On:

• Design and develop Agentic AI & Multi-Agent systems
• Build MCP Servers and model-serving infrastructure
• Develop LLM-powered applications, RAG pipelines, copilots & autonomous agents
• Build scalable AI/ML pipelines using Python
• Deploy AI solutions on AWS
• Work with EKS/ECS, SageMaker, Bedrock, EC2, S3 & Lambda
• Optimize AI systems for performance, scalability, latency & cost
• Implement LLM evaluation, grounding and safety frameworks
• Integrate AI solutions with enterprise systems and APIs
• Collaborate with DevOps teams on cloud-native AI deployments

Mandatory Skills:

Python | AWS | GenAI | Agentic AI | LLM | MCP Server | RAG | Vector DB | EKS | PyTorch