Senior AI Engineer - Poe (Remote)

Jobs
Quora

Quora

-

🌎 Remote

Posted on: 20 August, 2025

Senior AI Engineer - Poe (Remote)

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 problems
  • 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

Nice to Haves:

  • 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

What You’ll Be Doing:

  • 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.

Perks and Benefits:

  • Medical/dental/vision coverage
  • Equity refreshers
  • Remote work reimbursement
  • Paid time off
  • Employee assistance programs
  • Salary and benefits details specific to US and Canada locations

Tags:
ai
ml
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