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?
- Opportunity 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.
- Chance to build Text2SQL solutions for natural-language data access.

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