Posted 24 May, 2026
Senior AI Engineer - Agentic AI & ML Systems
NR Consulting
Hyderabad,Telangana
Full Time
Reference: 365_463738_26-02799
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
________________________________________
