What are the responsibilities and job description for the Intern - Engineering position at Lindy?
About Lindy
Lindy is building the AI assistant for everyone else — not the tinkerers, not the builders, but the people who just want their day back. Lindy Assistant lives in iMessage, handles email, calendar, and meetings, and takes two minutes to set up. We're building the layer between powerful AI models and real people's lives.
The Role
This isn't a shadow-an-engineer internship. You'll write and ship real code, work across the stack, and be treated like a junior engineer from day one. We'll push you — and we'll make sure you're learning at every step.
You'll be working on a product people use every day to handle their email, meetings, and calendar. The surface area is broad, the codebase is moving fast, and there's no shortage of interesting problems to dig into.
What You'll Do
Lindy is building the AI assistant for everyone else — not the tinkerers, not the builders, but the people who just want their day back. Lindy Assistant lives in iMessage, handles email, calendar, and meetings, and takes two minutes to set up. We're building the layer between powerful AI models and real people's lives.
The Role
This isn't a shadow-an-engineer internship. You'll write and ship real code, work across the stack, and be treated like a junior engineer from day one. We'll push you — and we'll make sure you're learning at every step.
You'll be working on a product people use every day to handle their email, meetings, and calendar. The surface area is broad, the codebase is moving fast, and there's no shortage of interesting problems to dig into.
What You'll Do
- Write and ship production code — not just prototypes, real features that go live
- Work across the full stack: TypeScript/React/Node on the frontend, Python on the backend
- Collaborate directly with engineers in code reviews, standups, and design discussions
- Debug real problems in a live product with real users
- Ask a lot of questions and figure things out fast
- You're studying CS or a related field, or you've taught yourself — either works
- You've built things: side projects, hackathon submissions, open source contributions, anything
- You're comfortable in at least one language; you pick up new ones without much fuss
- You've touched TypeScript, React, or Python before — you don't need to be an expert in all three
- Experience with LLM APIs (OpenAI, Anthropic, etc.) or building on top of AI models
- Familiarity with agentic workflows or tool-use patterns
- You've built or shipped something people actually use
- Hourly compensation
- Direct mentorship from engineers who care about code quality and your growth
- A front-row seat to how a fast-moving AI startup operates