AI Engineer – Agentic AI & GraphRAG

## About the Role Agivant Technologies is hiring an AI Engineer specializing in Agentic AI and GraphRAG to design and deploy enterprise Generative AI solutions. The role focuses on building LLM-powered applications, agentic workflows, RAG and GraphRAG systems, and production-ready AI solutions across cloud environments. ## Responsibilities - Design and develop Generative AI and Agentic AI solutions for enterprise use cases. - Build RAG and GraphRAG pipelines using embeddings, vector databases, and knowledge graphs. - Develop multi-agent systems using frameworks such as LangGraph and AutoGen. - Integrate LLMs with enterprise applications, APIs, databases, and business workflows. - Develop AI services and APIs using Python and FastAPI. - Implement prompt engineering, LLM evaluation, guardrails, and production monitoring. - Design data extraction and ETL workflows supporting AI applications. - Deploy and operate AI solutions using GCP, AWS, or Azure. - Collaborate with engineering and business teams to translate requirements into production AI solutions. - Mentor junior engineers and contribute to AI architecture and solution design. ## Requirements - 5-8 years of experience designing and implementing AI/ML or Generative AI solutions. - Strong Python programming and software engineering skills. - Hands-on experience with Generative AI, LLMs, and Agentic AI. - Strong understanding of RAG, embeddings, vector databases, and GraphRAG. - Experience with multi-agent frameworks such as LangGraph or AutoGen. - Experience building APIs with FastAPI or similar frameworks. - Knowledge of cloud platforms such as GCP, AWS, or Azure. - Experience with SQL, data extraction, and ETL workflows. - Strong problem-solving and communication skills. ## Nice to Have - Experience with MCP (Model Context Protocol). - Experience fine-tuning large language models. - Knowledge of knowledge-graph technologies such as Neo4j. - Experience with LLM evaluation frameworks and AI guardrails. - Kubernetes and Docker experience. - Experience deploying enterprise GenAI solutions to production.