Consultant - Semantic Engineer (Graph RAG - Knowledge Engineer)

Keka Technologies Private Limited

Hyderabad

On-site

INR 3,500,000 - 7,000,000

Full time

3 days ago
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Job summary

Chryselys in Hyderabad, India, is hiring a Consultant - Semantic Engineer (Graph RAG - Knowledge Engineer) to design and implement knowledge graphs and NLP systems for pharma analytics.

You will build production APIs with Python and FastAPI, develop graph data models with Neo4j/Amazon Neptune, and optimize graph retrieval at scale. The role demands experience with cloud-native pipelines on AWS and strong ownership across NLP extraction to production ops.

Qualifications

  • 5–9 years of software engineering experience.
  • Experience building production knowledge graphs and applied NLP systems.
  • Strong Python development skills; production APIs using Python and FastAPI.
  • Expertise in entity and relation extraction, NER, and semantic normalization.
  • Experience designing ontologies and graph schemas for complex business domains.
  • Hands-on with Neo4j and/or Amazon Neptune; Cypher/openCypher querying.

Responsibilities

  • Design ontologies, taxonomies and graph schemas to model complex domain relationships.
  • Build GraphRAG and graph+vector retrieval solutions for AI/GenAI apps.
  • Develop production data pipelines on AWS using S3, ECS/EKS and Bedrock; Docker, Git, CI/CD.

Skills

Python
FastAPI
Graph databases
Neo4j
Amazon Neptune
Cypher/openCypher
GraphRAG
NLP
NER
Ontology design
Graph schemas
AWS S3
ECS/EKS
Bedrock
Docker
pytest
Git
CI/CD
Biomedical ontology
Pharma data

Tools

Neo4j
Amazon Neptune
Cypher
Docker
pytest
Git
CI/CD
Bedrock
FastAPI
AWS

Job description

Consultant - Semantic Engineer (Graph RAG - Knowledge Engineer)

5-9

Full-Time

About Us:

Chryselys is a Pharma Analytics & Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations.

We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights.

Who we are:

People - Our team of industry veterans, advisors and senior strategists have diverse backgrounds and have worked at top tier companies.

Quality - Our goal is to deliver the value of a big five consulting company without the big five cost.

Technology - Our solutions are Business centric built on cloud native technologies.

  • 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 is proud to be an Equal Employment Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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