Agentic AI

Job Summary:

We are seeking a highly skilled AI Engineer with strong expertise in Graph Databases, Cypher Queries, Agentic AI architectures, and AWS Cloud services. The ideal candidate will design and develop intelligent, autonomous AI systems leveraging graph-based data models and scalable cloud infrastructure. This role requires hands-on experience in building AI agents, knowledge graphs, and deploying AI solutions in AWS environments.

Key Responsibilities:

Design and implement graph-based data models using Cypher queries.

Develop and optimize queries in graph databases such as Neo4j.

Build and deploy Agentic AI systems (autonomous AI agents capable of reasoning, planning, and task execution).

Integrate LLMs with knowledge graphs for contextual intelligence.

Develop AI pipelines using AWS services.

Deploy AI applications using containerized or serverless architectures on AWS.

Ensure scalability, performance optimization, and security of AI systems.

Collaborate with data scientists, cloud engineers, and product teams.

Required Technical Skills:

Graph & Query Skills:

Strong hands-on experience with Cypher Query Language

Experience with graph databases like Neo4j

Knowledge of graph modeling, indexing, and query optimization

Agentic AI Skills:

Experience building Agentic AI systems

Understanding of LLM orchestration frameworks

Experience with multi-agent systems and autonomous workflows

Prompt engineering and retrieval-augmented generation (RAG)

AWS Cloud Skills:

Hands-on experience with AWS services such as:

Experience with IAM roles and security best practices

CI/CD deployment in AWS environment

Please share your details to below mentioned mail

HR:Kavya

Mail:[Confidential Information]