Alpha Business Process Automation(RAG Engineer), Assistant Manager
Core
Designing and implementing enterprise-scale Ontologies, Knowledge Graphs, RAG, Graph RAG pipelines, and Agentic AI solutions to convert fragmented enterprise information into a reusable knowledge layer for intelligent search and workflow automation.
Role type
Senior IC RAG Engineer (Knowledge Graphs & Ontologies)
Builds
Production knowledge retrieval services, semantic models, and AI agent integrations for enterprise applications.
Domain
Financial Services / Enterprise AI & Knowledge Engineering
Deliverable
production ML models | product features
Required skills
Ontology design (RDF, RDFS, OWL, SHACL), Knowledge Graph modeling (Neo4j, Amazon Neptune, Cypher, SPARQL), RAG/Graph RAG pipeline development, Python engineering (APIs, microservices), Ingestion/transformation pipelines, Entity extraction and resolution, Hybrid retrieval and vector search, CI/CD practices
Preferred skills
Agentic AI development (LangChain, LangGraph, Llama Index), Multi-agent orchestration, AWS Bedrock Agents, Responsible AI governance, Infrastructure as code
Technologies
Neo4j, Amazon Neptune, AWS Bedrock, Python, LangChain, LangGraph, Llama Index, RDF, SPARQL, Cypher
Responsibilities
Design and maintain ontologies and semantic models; Build and query enterprise Knowledge Graphs; Develop ingestion and transformation pipelines; Implement RAG and Graph RAG pipelines with grounding and citations; Develop production-quality Python APIs and microservices; Collaborate with architects and SMEs to translate business needs into semantic capabilities; Support production environments including monitoring, troubleshooting, and code reviews.
Seniority
Senior, hands-on IC