Senior Software Engineer, AI Retrieval

Asana · New York City💰 $16,833–$18,583 USD/messenior

En corto

▸Construyes sistemas de búsqueda inteligente para IA en Asana, integrando datos internos y externos.
▸Optimizas velocidad, costo y calidad de recuperación usando OpenSearch, embeddings y ML.
▸Trabajas en equipo híbrido entre NYC y Warsaw, con enfoque en IA aplicada y experiencia de usuario.

🌐 Fluency in English is required for collaboration with global teams.

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

✓6+ años de experiencia en código en producción
✓Experiencia práctica en ingeniería de búsqueda con OpenSearch o ElasticSearch
✓Conocimiento en embeddings y búsqueda semántica con ML
✓Curiosidad por IA y tecnologías emergentes
✓Capacidad para colaborar con equipos distribuidos
✓Experiencia en roles de IA aplicada (deseable)

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

OpenSearchElasticSearchLLMembeddingssemantic searchmachine learningsearch infrastructureAI featureswork graphthird-party data sources

🎯 ¿A quién escribirle en Asana?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

The AI Retrieval team powers the intelligence behind Asana's AI features by finding relevant work graph content and delivering it to LLM context windows. Our work enables AI features that truly understand your work—both within and outside of Asana—and use that understanding to take action. We also own Asana's traditional search experience. As a Senior Software Engineer on the AI Retrieval team, you'll build the systems that make Asana's AI smart and responsive. You'll tackle challenging problems in search and retrieval, working to improve the speed, cost-efficiency, and quality of our systems while expanding their capabilities to new data sources. This role is based in our New York City office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. What you'll achieve • 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 About you • 6+ years of experience writing code in a production environment • Curiosity about how AI and technology can solve problems and a desire to use it regularly in your work • 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 • Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making We know that the best ideas and solutions come from multi-dimensional teams. That's because these teams reflect a variety of backgrounds and professional experiences. If you are excited about this role and feel your experience can make an impact, please don't be shy - apply today. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $202,000 - $223,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: • Mental health, wellness & fitness benefits • Career coaching & suppo

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