AI Product Engineer
Remote • San Francisco • FullTime
Posted 3y ago
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
As an AI Product Engineer at Speak, you will be instrumental in shaping the future of language learning and developing the most effective path to language fluency. Your core responsibility will involve creating innovative product experiences powered by Large Language Models (LLMs) and deploying them to a vast user base. Your work will encompass the full stack, from evaluating models and testing prompts to developing and refining product features like conversational onboarding, lesson experiences, grammatical feedback, and personalized learning paths. We are dedicated to pushing the boundaries of LLM capabilities to deliver an exceptional and unique language learning experience to users globally.
Responsibilities
- Develop and deploy LLM-powered language learning products across the full stack.
- Enhance the quality and performance of existing AI-powered features.
- Collaborate with Engineering, Applied ML, Product, Design, and Content teams.
- Refine LLM application development processes, including prompting, experimentation, evaluation, and LLM Ops.
- Scale existing product features to accommodate a larger user base and more languages.
Requirements
- 3-5+ years of experience in full-stack/backend, product-focused software engineering.
- Proficiency in React/Node/Typescript and Python.
- Real-world experience developing and deploying LLM applications.
- Strong understanding of effective LLM strategies.
- Keen intuition for improving LLM system performance and output quality.
- Experience with LLM Ops and tools (e.g., vector databases, RAG, prompt ops).
- Strong product intuition for innovative LLM-powered capabilities.
- Ability to work independently and build at a high velocity.
Benefits
- Opportunity to join a rapidly growing company with significant venture backing.
- Work with a dedicated team focused on professional growth.
- Global work environment with opportunities for international collaboration.
- Chance to make a significant impact on users' lives by improving language learning.