Alpha Business Process Automation(RAG Engineer), Assistant Manager

Overview

Design, develop, and support enterprise ontology, Knowledge Graph, RAG, and Graph RAG capabilities as a hands-on Senior Engineer. The role also contributes to agentic AI, cloud-native services, orchestration, security, and governance.

What you'll do

• Design and maintain ontologies, semantic models, taxonomies, entity types, relationships, and validation rules.
• Build and query enterprise Knowledge Graphs using graph platforms and query languages.
• Develop ingestion and transformation pipelines for structured and unstructured content.
• Build RAG and Graph RAG pipelines with retrieval, grounding, source attribution, and citations.
• Develop production-quality Python APIs and microservices with automated tests.
• Deploy, monitor, troubleshoot, tune, and support knowledge and retrieval services.
• Develop or integrate AI agents with enterprise APIs, tools, repositories, and workflow services.

What you'll need

• 7–12 years of overall technology experience.
• At least 3 years of hands-on experience with enterprise data, semantic, graph, search, knowledge, or AI solutions.
• Experience with an enterprise graph platform such as Neo4j, Amazon Neptune, or Graph DB.
• Proficiency in graph modeling and Cypher, SPARQL, or related query languages.
• Strong Python skills, including REST APIs or microservices, testing, and production code.
• Experience implementing RAG or Graph RAG solutions and retrieval evaluation.
• Bachelor’s degree in a related discipline.

Nice to have

• Experience with agent frameworks such as LangChain, LangGraph, LlamaIndex, or Semantic Kernel.
• Experience with AWS Bedrock Agents, Guardrails, or equivalent services.
• Knowledge of responsible AI, privacy, access controls, auditability, and AI governance.

Details

• Location: Hyderabad, India.
• Assistant Manager role.