Agentic AI Engineer

An Agentic AI Engineer is required to design and deliver production-grade AI solutions capable of extracting knowledge from unstructured content, connecting multiple enterprise data sources, and enabling AI agents to retrieve and act on company data. Responsibilities: Build an entity extraction pipeline using GLiNER and LLM-based relationship extraction. Design, deploy and optimise Qdrant based vector database for enterprise data retrieval. Build and maintain Neo4j knowledge graphs, integrating and resolving entities from diverse data sources. Develop LangGraph agent workflows to route user queries and retrieve information from multiple data sources. Build external API integrations for third-party data sources. Transform an existing AI prototype into a scalable, production-ready, reusable agentic service. Deliver robust AI solution that integrate knowledge graphs, vector search, document processing and agent orchestration. Required Experience Experience building Agentic AI solutions using LangGraph or a similar orchestration framework. Strong Python development experience, including delivering production-grade AI services. Experience in combining lightweight zero-shot encoders (GLiNER) with LLMs for structured data extraction Hands-on experience deploying and managing vector databases. Experience designing and implementing Neo4j knowledge graphs and entity resolution. Strong understanding of embeddings, retrieval pipelines, vector search and AI agent architectures. ..... full job details .....