DATA / KNOWLEDGE ENGINEER
Aabasoft Technologies India Private Limited (company site, opens in a new tab)KochiOn-siteDirect career pageEst. 8–14 LPA
Posted on 7 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and implement LLM applications using Amazon Bedrock and advanced prompt engineering techniques.
- Build and integrate knowledge graphs with RAG patterns, including graph-augmented generation and subgraph retrieval for improved context injection.
- Design and maintain AI-driven data pipelines and Text2SQL solutions utilizing Python/TypeScript and frameworks like LangChain or LlamaIndex.
Minimum Requirements
- Experience with Amazon Bedrock and prompt engineering for LLM applications.
- Proficiency in Python and/or TypeScript programming languages.
- Hands-on knowledge of knowledge graph technologies including RDF, OWL, SKOS, and graph databases such as Neptune or Neo4j.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Demonstrated expertise in building and deploying generative AI and knowledge engineering solutions at scale.
- Familiar with designing ontologies, taxonomy modeling, and knowledge representations for complex data ecosystems.
- Experienced in implementing RAG patterns and integrating AI frameworks such as LangChain or LlamaIndex in production environments.