Speak · 2 days ago
AI Product Engineer
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Artificial Intelligence (AI)E-Learning
Insider Connection @Speak
Responsibilities
Developing and deploying LLM-powered language learning products across the full stack
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 the process for building LLM apps, including best practices for prompting, experimentation/evaluation, LLM Ops, measuring quality and performance, etc.
Scaling existing product features to reach more users and languages
Qualification
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Required
3-5+ years of experience in full stack/backend, product-focused software engineering
Proficiency in React/Node/Typescript and Python
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
Interest in building with LLMs
You may have participated in LLM hackathons, developed several side projects, experimented with different types of models, and use ChatGPT daily
Preferred
You have 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)
Company
Speak
Speak is a mobile app that helps people learn new languages through AI-powered conversation.
Funding
Current Stage
Growth StageTotal Funding
$74.03MKey Investors
Lachy GroomOpenAI Startup FundKhosla Ventures
2023-10-17Series Unknown· $20.03M
2023-07-19Series B· $16M
2022-11-17Series B· $27M
Recent News
2023-10-18
SEC
2023-10-18
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