Speak · 2 days ago

AI Product Engineer

San Francisco, CA

Full-time

Hybrid

Mid Level

3+ years exp

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Artificial Intelligence (AI)E-Learning

Insider Connection @Speak

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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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Full StackBackendReactNodeTypescriptPythonLLMHackathonsModel ExperimentationChatGPTProblem-SolvingCreativityIndependenceLLM app developmentLLM systems improvementLLM OpsVector databasesRAGPrompt opsIntuition

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)