- Identify high-value internal use cases across engineering, legal, HR, sales, and operations
- Build or vibe code end-to-end LLM applications: prompts, RAG pipelines, APIs, simple UIs, deployment, and monitoring
- Own the full lifecycle: prototype → production → maintenance → iteration
- Document learnings and share insights with product and research teams
- Convert successful internal tools into customer demos or case studies where appropriate
How We Work in Applied AI
- We care about people and outputs.
- What matters is what you ship, not the time you spend on it
- Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
- Always ask why. The best solutions come from deep understanding, not from copying what worked before
- We say what we mean. Feedback is direct, timely, and given because we care.
- No politics. Low ego, high standards.
- We embrace an unstructured environment and find joy in it.