Posted 22 May, 2026
Senior AI Engineer Agentic AI & ML Systems
NR Consulting - India
Hyderabad, Telangana, IN
Full Time
Reference: 26-02799-2220-1
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
________________________________________
