4Bell Technology

Staffing & Recruiting

Senior AI/ML Engineer(R-2018)

100,000.00-3,000,000.00/A

Any Degree

IT (Information Technology)

Full-time

Hyderabad

10-Oct-2026

Python AWS Gen AI Agentic AI LLM MCP Server RAG Eks Vector Db Pytorch

Job Description

We are looking for high-performing Senior AI Engineers with strong expertise in Agentic AI, MCP servers, and AWS-based ML platforms. This role focuses on building scalable, production-grade AI systems using Python, leveraging LLMs, multi-agent architectures, and cloud-native infrastructure on AWS. 
 Key Responsibilities 
 • Design and develop agentic AI systems (multi-agent orchestration, reasoning workflows, tool integrations) 
 • Build and manage MCP server / model-serving infrastructure 
 • Develop LLM-powered applications (RAG pipelines, copilots, autonomous agents) 
 • Build scalable ML pipelines using Python (training, inference, monitoring) 
 • Deploy and manage solutions on AWS platform (SageMaker, Bedrock, EKS/ECS, EC2, S3, Lambda) 
 • Optimize systems for performance, scalability, latency, and cost 
 • Implement evaluation frameworks for LLM accuracy, safety, and grounding 
 • Integrate AI solutions with enterprise systems and APIs 
 • Collaborate with DevOps teams for cloud-native deployments
 • Mentor team members and drive engineering excellence 
 Mandatory Skills & Experience 
 • 8+ years of experience in AI/ML engineering or data science 
 • Strong Python expertise (MANDATORY) (core programming, ML/AI development, data processing) 
 • Hands-on experience with LLMs (OpenAI / open-source, prompt engineering, fine-tuning) 
 • Proven experience building agentic AI / multi-agent systems 
 • Experience with MCP servers / model-serving frameworks 
 • Strong experience with RAG pipelines and vector databases 
 • Hands-on experience working on AWS platform (SageMaker, Bedrock, EKS/ECS, EC2, S3, Lambda, IAM) 
 • Experience with PyTorch / TensorFlow • Solid understanding of distributed systems and system design 
 Good to Have 
 • Experience with LangChain, AutoGen, CrewAI, Semantic Kernel 
 • Exposure to Amazon Bedrock and GenAI services 
 • Experience with MLOps tools (MLflow, Kubeflow, SageMaker Pipelines) 
 • Knowledge of knowledge graphs / semantic search 
 • Experience in real-time AI / streaming systems