Gen AI Engineer
Tasks
- Build API services for production AI workflows
- Design and build retrieval augmented generation applications
- Generate embeddings and manage vector indexing
- Implement evaluation frameworks for ground truth validation and quality metrics
- Implement retrieval pipelines with chunking indexing metadata tagging and filtering
- Integrate structured and unstructured data sources
- Monitor and improve response quality and relevance
- Optimize reranking for semantic search results
- Parse and extract data from documents and images using OCR
- Store parsed content in a vector database
Perks/Benefits
- Hybrid working
- Interview consideration for candidates with disabilities
- Learning and development opportunities
- Wellbeing programs
Skills/Tech-stack
API Development | Chunking | Document Understanding | Embeddings | Indexing | LLM orchestration | NoSQL | OCR | Prompt engineering | Python | RAG | Reranking | Retrieval Pipelines | SQL | Semantic Search | Vector Databases
Education
N/A
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