Senior AI Engineer

📋 Description

• Build a unified retrieval layer across enterprise systems
• Design hybrid retrieval pipelines combining lexical, dense, and structured data
• Engineer ingestion and freshness pipelines with low latency
• Own permission-aware retrieval respecting ACLs
• Build query understanding for agents: intent parsing and linking
• Design embedding strategies for varied content

🎯 Requirements

• 3+ years building production search, retrieval, or knowledge-base systems
• Python, Go, or Java proficiency
• Experience with OpenSearch/Elasticsearch/Solr/Vespa and index design
• IR fundamentals: TF-IDF, BM25, ranking, query parsing
• Vector search/embeddings: FAISS, Pinecone, Milvus, or kNN in ES/OS
• NLP/LLM tooling: embeddings, prompt engineering; LangChain

🎁 Benefits

• Flexible, trust-oriented culture that empowers ownership
• Vibrant, dynamic work environment with comprehensive benefits
• Opportunity to work on enterprise AI retrieval at scale
• Collaborative culture with mentorship and growth opportunities