Senior AI Engineer (Search / Retrieval)
Tasks
- Build evaluation and experimentation harnesses
- Build query understanding for agents
- Build unified retrieval layer
- Design chunking and embedding strategies
- Design hybrid retrieval pipelines
- Engineer ingestion and freshness pipelines
- Implement permission aware retrieval with ACL preservation
- Mentor teammates on retrieval architecture
- Ship production grade observable systems
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | BM25 | CI/CD | Containerization | Cross Encoder Re Rankers | Cross-Encoder | Distributed Systems | Elasticsearch | Elasticsearch KNN | Embeddings | Faiss | GCP | Go | GraphQL | Haystack | Java | Langchain | Learning-to-Rank | Llamaindex | Milvus | NoSQL | OAuth | OAuth Authorization | OAuth2 | OpenSearch | PGVector | Pinecone | Prompt engineering | Python | Qdrant | Query Parsing | RAG | REST | Re-rankers | Relevance Evaluation | SQL | Solr | TFIDF | Transformer Embeddings | Vector Search | Vespa | Weaviate | Webhooks
Education
N/A
Roles
AI | AI Engineer | Engineer | Senior Software Engineer | Software Engineer
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