[Quora is a privately held, remotefirst company. This position can be performed remotely from multiple countries around the world. Please visit careers.quora.comeligiblecountries for details regarding employment eligibility by country.]
Quora’s mission is to grow and share the world’s knowledge. To do so, we have two knowledge sharing products:
Quora: a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including GPT5, Claude 4.1, Grok 4, Veo 3 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.
This role will be working on our Poe product.
We are seeking a talented AI Engineer to join us in building Poe, an exciting new platform at the forefront of AI. You will work at the cutting edge of technology to develop the Poe’s bot eco system with state of art AI algorithms as well as applications. This includes architecting performant and reliable and performant vibe coding applications, designing and building a scalable LLM model evaluation, and collaborating with our product team to build various personalized AIdriven user features.
Poe has experienced awesome growth so far, and as an AI Engineer for Poe, you can build the future of the bot ecosystem while gaining invaluable experience with complex problems. Your contributions will have a direct influence on the Poe’s roadmap. If you have a passion for applied AI , this role offers an invaluable opportunity to spearhead progress.
Be responsible for developing, designing, and maintaining cuttingedge applied LLM projects including but not limited to search result retrieval, recommender systems and multibot agents, ensuring smooth and engaging user experiences.
Participate in a wide variety of Applied AI activities, including refining and optimizing prompting, retrievalaugmented generation, etc to improve the outcome of LLM.
Continuously research and stay uptodate with the latest developments in AI and large language models, utilizing innovative techniques and methodologies to enhance our models.
Take end to end ownership of large and scalable machine learning systems from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems.
Availability for meetings and impromptu communication during Quoras “coordination hours (MonFri: 9am3pm Pacific Time)
Strong foundation in data structures, ML algorithms, and software engineering principles
Proven track record of tech leading NLPSearch models to solve industryscale problem
Deep understanding of large language model APIs, prompt engineering, and LLM workflow design
Previous experience tech leading complicated end to end machine learning systems
BS, MS or PhD in Computer Science, Engineering or a related technical field
5+ years of professional experience working on natural language processing, language modeling, etc.
Experience with generative AI research and applications.
Shipped Gen AIML systems in production AI agent, RAG, etc
Experience of transformer models and LLM applications
Flexible and positive team player with outstanding interpersonal skills
Passion for Poes mission and goals
At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.
We are accepting applications on an ongoing basis. This role is a backfill for an existing vacancy.
Quora offers a wide range of benefits including medicaldentalvision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are countryspecific and may vary. For more information on benefits, visit this link: https:www.careers.quora.combenefits
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