Data / Knowledge Engineer

Develop LLM applications using Amazon Bedrock and prompt engineering.
Implement RAG patterns and knowledge graph integration.
Build graph-augmented generation and subgraph retrieval for context injection.
Develop Python/TypeScript AI pipelines using LangChain, LlamaIndex, or equivalent.
Implement Text2SQL solutions.
Design ontologies and knowledge representations.
Model entities, dependencies, and lineage using graph databases.

Requirements

Amazon Bedrock
Prompt engineering
RAG patterns
Knowledge graph integration
Graph-augmented generation
Subgraph retrieval
Python / TypeScript
LangChain, LlamaIndex, or equivalent

What we Expect from you?

Text2SQL
Ontology design and knowledge representation
RDF, OWL, SKOS
Taxonomy modeling
Neptune or Neo4j




Python and data engineering skill

What you've got?

Chance to work on cutting-edge Generative AI, Knowledge Engineering, and RAG solutions.
Hands-on experience with Amazon Bedrock, LLM applications, and prompt engineering.
Practical exposure to knowledge graphs, graph-augmented generation, and subgraph retrieval.
Opportunity to design and implement AI-powered knowledge and data pipelines using Python/TypeScript.
Experience working with LangChain, LlamaIndex, and other modern AI frameworks.
Opportunity to build Text2SQL solutions for natural-language data access.

📌 DATA / KNOWLEDGE ENGINEER (Kochi)
🏢 Aabasoft
📍 Kochi