Quora
Senior AI Engineer - Poe (Remote)
Job Summary
The role involves developing and maintaining advanced large language models and AI systems, with responsibilities including designing scalable machine learning pipelines, optimizing prompt techniques, and staying current with AI advancements. Candidates should have significant experience in NLP, machine learning, and software engineering, with a proven ability to lead complex AI projects from inception to deployment. The position requires collaboration with cross-functional teams to create personalized AI-driven features and improve user experiences. Benefits include health coverage, equity, remote work support, and paid time off, aligning with Quora's commitment to a diverse and inclusive workplace.
Required Skills
Benefits
Job Description
[Quora is a privately held, "remote-first" company.This position can be performed remotely from multiple countries around the world. Please visitcareers.quora.com/eligible-countries for details regarding employment eligibility by country.]
About Quora:
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 GPT-5, 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.
Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.
This role will be working on our Poe product.
About the Team and Role:
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 AI-driven 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.
Responsibilities:
Be responsible for developing, designing, and maintaining cutting-edge applied LLM projects including but not limited to search result retrieval, recommender systems and multi-bot agents, ensuring smooth and engaging user experiences.
Participate in a wide variety of Applied AI activities, including refining and optimizing prompting, retrieval-augmented generation, etc to improve the outcome of LLM.
Continuously research and stay up-to-date 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.
Minimum Requirements:
Availability for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
4+ years of experience writing Python
Strong foundation in data structures, ML algorithms, and software engineering principles
Proven track record of tech leading NLP/Search models to solve industry-scale problem
Proven track of strong problem-solving skills and ability to identify technical bottlenecks in complex systems
Deep understanding of large language model APIs, prompt engineering, and LLM workflow design
Comfortability taking projects from zero to one and owning the entire lifecycle, with a proactive approach to challenges
Previous experience tech leading complicated end to end machine learning systems
Experience with leading large-scale multi-engineer projects
BS, MS or PhD in Computer Science, Engineering or a related technical field
Preferred Requirements:
5+ years of professional experience working on natural language processing, language modeling, etc.
Experience with generative AI research and applications.
Shipped Gen AI/ML 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 Poe's 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.
Additional Information:
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 medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link:https://www.careers.quora.com/benefits
There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.
US candidates only: For US based applicants, the salary range is $165,604 - $252,439 USD + equity + benefits.
Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $212,374 - $258,987 CAD + equity + benefits. For all other locations in Canada, the salary range is $198,216 - $241,721 CAD + equity + benefits.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Please note: AI technology may assist in sorting applications and recording interview notes, but all decisions are made by a member of our team.
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Quora
Quora is a place where you can ask questions that matter to you and get answers from people who have been there and done that. Quora is where scientists, artists, entrepreneurs, mechanics, and homemakers take refuge from misinformation and incendiary arguments to share what they know.
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