AI/ML Engineer (Agentic Systems & Governance)
- Source: Naukri
- Coforge
- On-site
- Hyderabad
- Full-Time
- Mid level
Job Description
We are Hiring: AI/ML Engineer (Agentic Systems & Governance)
Job Location: Hyderabad (Only)
Experience: 6 to 8 Years
Employment Type: Full-Time
Share your CV: [email protected]
WhatsApp: 9667427662
About the Role
We are looking for a skilled AI/ML Engineer to design and productionalize next-generation Agentic AI systems.
The role focuses on building multi-agent workflows, advanced RAG pipelines, and ensuring governance, security, and scalability across cloud environments.
Key Responsibilities
- Design and implement multi-agent workflows using LangGraph and LangChain
- Develop and optimize RAG pipelines with vector search and semantic retrieval
- Build MCP-based integrations connecting LLMs with enterprise systems
- Deploy and scale AI solutions on AWS (Bedrock, SageMaker, EKS)
- Implement guardrails, prompt security, and AI governance frameworks
- Optimize data flow, cost, and system performance
- Set up observability frameworks for evaluation (Ragas, LangSmith)
Required Skills:-
- Strong experience in AI/ML system development (production level)
- Hands-on expertise in LangChain, LangGraph
- Experience in Agentic AI, MCP, and multi-agent systems
- Strong knowledge of RAG, embeddings, and vector databases (Pinecone, Milvus, etc.)
- AWS expertise (EKS, S3, IAM, Bedrock, SageMaker)
- Proficiency in Python (NumPy, Pandas, PyTorch/TensorFlow)
Good to Have:-
- Experience in AI governance, compliance, and security frameworks
- Exposure to BFSI/Healthcare regulated environments
- Experience scaling AI systems into production-grade microservices
Skills
- LangGraph
- LangChain
- scaleai
- amazon-web-services
- bedrock
- amazon-sagemaker
- amazon-eks
- guardrails
- Milvus
- amazon-s3
- aws-iam
- Python
- NumPy
- Pandas
- PyTorch
- Tensorflow
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