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Agentic AI Engineer
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Agentic AI Engineer
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.
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Required Experience
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- 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.
- Experience integrating structured and unstructured enterprise data sources.
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