Staff Applied AI Engineer (Search & RAG)

• Reduce the latency and cost of our retrieval system, making Asana's AI features faster and more efficient
• Improve the quality and relevance of search results to help users find exactly what they need
• Expand the retrieval system's 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 while building strong relationships with your Warsaw-based peers

Key requirements:

• 6+ years of experience writing code in a production environment
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making
• Hands-on experience in search engineering, including with OpenSearch or ElasticSearch
• Experience with embeddings and machine learning approaches to search and retrieval

Nice to have:

• Experience in an Applied AI role is a plus