Semantic Engineer (Graph RAG - Knowledge Engineer)

About this role

Chryselys Consultant - Semantic Engineer (Graph RAG - Knowledge Engineer) PACE 5-9 FullTime Hyderabad CSPL0491IN Skills & Expectations • 5–9 years of software engineering experience, including hands-on experience building production knowledge graphs and applied NLP systems. • Strong Python development skills, with experience building production APIs and services using Python and FastAPI. • Strong expertise in entity and relation extraction, Named Entity Recognition (NER), entity resolution/matching and semantic normalization. • Experience designing ontologies, taxonomies and graph schemas to represent complex business and domain relationships. • Hands-on experience with Neo4j and/or Amazon Neptune, including Cypher/openCypher for graph querying and traversal. • Practical experience building GraphRAG and graph + vector hybrid retrieval solutions for AI/GenAI applications. • Experience designing and optimizing graphs at millions-of-nodes/edges scale, with focus on query performance, data quality and scalability. • Strong understanding of building production data pipelines using AWS S3, ECS/EKS and Bedrock, with Docker, pytest, Git and CI/CD. • Biomedical ontology experience with standards such as UMLS, MeSH, SNOMED, RxNorm, ICD- 10, DrugBank and/or ChEMBL is highly preferred. • Pharma, Life Sciences or Healthcare domain experience is preferred, particularly experience working with scientific, clinical or drug-related data. • Expected to bring strong ownership across the lifecycle—from NLP extraction and graph construction through retrieval, GenAI integration, evaluation and production operations. Chryselys

Key Responsibilities

• Build knowledge graphs
• Develop Python APIs
• Design graph ontologies
• Implement entity extraction

Requirements

Must have

• 5–9 years of experience