AI-Native Software Developer Intern
Build real AI agents used daily across the company
We’re looking for a high-agency, AI-native software developer intern to help us build internal AI agents that improve productivity across our entire company (80–100 people using them daily).
You will ship real systems, used by real teams, with real impact.
If you’ve never built anything outside coursework, this role is probably not a fit.
What You’ll Work On
You will work directly on designing, building, deploying, and iterating AI agents that power internal workflows.
Examples of problems you may tackle:
Internal AI agents for:
- Knowledge retrieval across Notion / docs / Slack
- Automated report generation
- Customer support assistance
- Process automation (ops, hiring, onboarding, etc.)
- Decision-support copilots
- Prompt engineering + structured outputs + tool-using agents
Building workflows using:
- LLM APIs
- Vector databases
- Agent frameworks
- Internal dashboards
- Improving reliability, latency, cost, and usability of AI systems
- Designing real UX around AI tools (not just scripts)
You will own features end-to-end:
- Problem understanding
- Solution design
- Implementation
- Testing
- Deployment
- Iteration based on user feedback
What We Expect From You
You must:
- Be AI-native: you actively use tools like:
- ChatGPT / Claude / Cursor / Copilot
- AI for debugging, scaffolding, refactoring
- Prompt iteration
- Rapid prototyping
- Be comfortable with at least one programming language (Python, TypeScript, JS, etc.)
- Have strong critical thinking
- You question requirements
- You think about edge cases
- You optimize systems, not just make them “work”
- Be high agency
- You don’t wait for step-by-step instructions
- You proactively propose solutions
- You take ownership of outcomes
- Be able to learn fast on the job
Help will be provided but you will not be spoonfed.
Absolute Requirement (Non-Negotiable)
If you have not built any side projects with a visible output, you will most likely be rejected.
We expect at least one of:
- A deployed web app
- A GitHub repo with meaningful commits
- A working AI tool
- A live demo link
- A product you built and shipped
- An agent, automation, bot, or workflow you created
Bonus Points (Strong Signals)
These are not required but will strongly differentiate you:
- Built projects using:
- LLM APIs (OpenAI, Anthropic, etc.)
- LangChain / LlamaIndex / custom agent frameworks
- Vector DBs like Pinecone, Weaviate, FAISS
- RAG systems
- Experience deploying:
- Vercel, Fly.io, Render, AWS, etc.
- Built internal tools for a team before
- Strong product intuition (you care about UX, not just code)
- Experience automating your own workflows using scripts or AI
What You’ll Gain
You will get:
- Real experience building AI agents used daily
- Ownership over production systems
- Deep exposure to:
- AI architecture
- Product thinking
- Iterative engineering
- Tradeoffs (cost vs latency vs accuracy)
- A portfolio that actually means something in 2026
- A strong shot at long-term roles based on performance
If you perform well, you won’t leave with a certificate, you'll leave with real-world building experience.
Who This Is Perfect For
- People who already build things for fun
- People who automate their own life with scripts/tools
- People who learn by shipping
- People who prefer responsibility over structure
- People who are excited by ambiguity
Who This Is Not For
Be honest with yourself:
- If you need step-by-step instructions
- If you avoid open-ended problems
- If you’ve never built anything outside assignments
- If you dislike using AI tools while coding
This will be frustrating for you.
How To Apply
Send:
- Your GitHub
- Links to projects (deployed preferred)
- A short note explaining:
- What you built
- Why you built it
- What you’d improve if you had more time
Strong portfolios beat strong resumes.
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