Posted 01 July, 2026
Senior AI Engineer Agentic AI & ML Systems
NR Consulting - India
Hyderabad, Telangana, IN
Full Time
Reference: 26-15250-2220-1
Title: Senior AI Engineer – Agentic AI & ML Systems
Location: Hyderabad
Exp: 10–15 Years
Job Description:
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
• 10–15 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
________________________________________
Location: Hyderabad
Exp: 10–15 Years
Job Description:
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
• 10–15 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
________________________________________
