About Alice

Alice makes personalized learning accessible for students and teachers using the latest in AI and LLMs. More than 100,000 students have already used Alice.

In 2025 we joined Y Combinator's W25 batch in San Francisco, and we have raised over $6m to scale – including innovation fund grants on top of our seed round.

Though still small, our team punches above its weight – with backgrounds from top Comp. Sci. institutions, McKinsey, 10+ years of teaching, and even Denmark's top high school GPA.

We're building a true A-team because it's most fun to work with smart, driven people on a mission that matters.

About you

• "Pilot, not passenger" – You're intrinsically driven. There's no playbook for building Alice.tech, so we define it together. That requires ownership.

• "Engineer with a capital E" – Startups thrive by shipping fast, but without structure we crash. We need people who master the balance: speed and solid engineering. That's the heart of the role.

• AI-augmented, quality-first – We use AI extensively in our own development and operations, from sparring and prototyping to implementation and debugging. Experience with agentic dev workflows isn't required, but you should be excited to learn it. Either way, the bar doesn't move: you know what good code looks like, and you ship faster with AI without compromising the quality of what we continuously integrate.

What you'll do

• Designing, building, and scaling AI pipelines – from data ingestion and preprocessing to fine-tuning and deploying LLMs in production, primarily on our TypeScript/tRPC backend

• Building durable AI workflows – using Temporal to reliably orchestrate long-running, nondeterministic LLM tasks

• Developing backend services that power AI features for web and mobile products

• Evaluating and integrating new models & APIs to stay on the frontier of LLM capabilities

• Collaborating cross-functionally with designers, frontend engineers, and business stakeholders to build magical user experiences, powered by AI

• Driving best practices for testing, reliability, observability, and deployment of AI systems at scale

• Selectively perform fullstack – we're a small startup, so be ready to pull up your sleeves and help out across our TypeScript stack, backend and frontend alike

Requirements

• Mindset – fantastic work ethic and high ambition

• Delivering highly reliable systems at scale, in production

• Building and deploying AI/ML or LLM-based systems in production

• Comfort with the intricacies of AI-powered features – nondeterministic LLM output, third-party vendor rate limiting, and long-running/async task orchestration (we use Temporal)

• Strong backend engineering skills in Node.js/TypeScript and clean software architecture

• Fine-tuning or RAG pipelines with large language models

• Working with embeddings, vector DBs, or semantic search

• Modern ORMs (we use Drizzle) and relational database design and optimization

• Cloud infrastructure (AWS, Azure, or GCP)

• Extensive testing practice – Vitest for unit/integration tests, Playwright for e2e

• 5–10+ years of professional software development experience

• MSc in Computer Science / Engineering / Data Science (or equivalent professional experience)

Nice to have

• LLM/model evals – this is a big bonus

• Containerization (we use Docker)

• MLOps with a focus on evaluating LLM performance

What we offer

• Join early in a fast-growing startup with highly talented people

• Ambitious culture with a steep learning curve

• Purposeful mission worth working hard for

• Competitive package – including stock options

How to apply

Apply through The Hub. Drop your resume & LinkedIn URL and add a sentence or two on your motivation.