Senior Applied AI Engineer (Search & RAG)

The AI Retrieval team at Asana powers the intelligence behind AI features by finding relevant work graph content and delivering it to LLM context windows. The team owns Asana's traditional search experience and builds systems that improve the speed, cost-efficiency, and quality of AI and search features.

• 6+ years of experience writing code in a production environment
• Curiosity about AI tools and emerging technologies, with willingness to learn and apply them
• Hands-on experience in search engineering, including with OpenSearch or ElasticSearch
• Experience with embeddings and machine learning approaches to search and retrieval
• Experience in an Applied AI role is a plus

• Reduce latency and cost of the retrieval system to enhance AI feature performance
• Improve quality and relevance of search results
• Expand retrieval system capabilities to query new Asana objects and third-party data sources
• Build and optimize search infrastructure using OpenSearch/ElasticSearch
• Contribute to ML-powered features like embeddings-based retrieval and semantic search
• Collaborate with cross-functional partners in New York City and Warsaw

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