Responsibilities
- Developing and deploying LLM-powered language learning products across the full stack, as well as enhancing the quality and performance of existing AI-powered features within Speak
- Collaborating cross-functionally with other Engineering teams, Applied ML, Product, Design, and Content
- Refining our process for building LLM apps, including best practices for prompting, experimentation/evaluation, LLM Ops, measuring quality and performance, etc.
- Scaling existing product features to many more users and 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 apps and a strong understanding, gained through experience, of what works and what doesn't
- A keen intuition for improving performance and output quality of LLM systems
- Experience with LLM Ops and tools (e.g., vector databases, RAG, prompt ops)
- Strong product intuition — the ability to think broadly and cross-functionally about innovative LLM-powered capabilities and product experiences
- Ability to work independently and build at a high velocity
Work Arrangement
Remote (Worldwide) — San Francisco, Seoul, Tokyo, Taipei, Ljubljana
Additional Information
- Office location: San Francisco, CA
- The company is live in over 40 countries and launching in new markets soon
- Opportunity to travel and interact with users in multiple regions
- Compensation range: $150K - $280K
- Speak does not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics
