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About Quora:
Quora’s mission is to grow the world's collective intelligence. To do so, we have two platforms:
- Quora: a global knowledge sharing platform with over 300M 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 Sonnet 4.5, Grok 4, Veo 3.1, Gemini 2.5 Flash Image (Nano Banana), 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.
About the Team and Role:
Our small engineering team works on challenging problems every day. We have a culture that's rooted in constantly learning and improving, and our engineers are encouraged to think big and experiment with new ideas. Using continuous deployment, we quickly see our changes in the product and make fast iterations. Everyone on the engineering team has a huge impact on our product and our company.
At Poe, we use AI in various parts of the product - bot/app routing and recommendation, agent flow, RAG, etc. Our team of AI Engineers has high impact by advancing the current AI systems, building performant and reliable LLM applications, and collaborating with our product team to uncover new opportunities for the Poe product. You will also play a key role in developing tools and abstractions that other developers will build on top of.
Responsibilities:
- Work with other engineers on a wide variety of AI engineering tasks, including prompt engineering, retrieval-augmented generation, and agentic workflow optimization, etc to improve our existing applied AI systems
- Identify new opportunities to apply emerging AI capabilities to different parts of the Poe product
- Take end-to-end ownership of applied AI systems - from prototyping, data pipelines, model optimization/evaluation to reliable deployment at scale
- Ability to be available for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
- A 2025 or Summer 2026 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field
- Strong engineering background (Python or TypeScript)
- Understanding of mathematical foundations of Machine Learning algorithms
- Experience of LLM applications or transformer models
- A passion for learning and always improving yourself and the team around you
- Previous software engineering experience via an internship, work experience or coding competition
- Previous hands-on experience working on LLM and prompt engineering
- Passion for Poe and Quora’s mission and goals
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 $107,360 - $152,900 USD + equity + benefits.
- Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $140,796 - $160,415 CAD + equity + benefits. For all other locations in Canada, the salary range is $131,409 - $149,720 CAD + equity + benefits.
AI technology may assist in sorting applications and recording interview notes, but all decisions are made by a member of our team.
Job Applicant Privacy Notice: https://www.careers.quora.com/applicant-privacy-notice
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