Careers
More room to decide, for people who move first.
Parallel collaboration replaces approval chains; growth doesn't wait for annual reviews. You push the work forward and help set direction — the team provides resources, collaboration and the room to get things done.
How we work
Parallel management
No chains of approval. Everyone owns a goal directly; decisions happen closest to the problem.
Scrum cadence
One Sprint every 1–2 weeks: backlog, standups, review, retro. Progress stays visible, feedback stays fast.
AI-agent first
We believe AI agents are reshaping how work gets done: coding, testing, research and docs go to agents — people focus on judgment and creation.
Internal startups
Good ideas grow into products. PickNewCar, Stock Center and 3LLM all came from internal founders — the company funds it, you run it.
Flexible work
Remote-first, flexible hours. We deliver across four time zones on rhythm and trust, not clock-ins.
Self-driven growth
Set your own quarterly growth goals; the company funds them — courses, books, conferences, GPU hours.
Open roles
Full-Stack Engineer
Product EngineeringTaiwan / RemoteFull-timeRemote OK
Build custom platforms and our own products with the team — from frontend interfaces to backend architecture.
- 3+ years of web development (React/Next.js plus any backend framework)
- Able to break down requirements and design APIs and data models independently
- Cares about performance, maintainability and UX
AI Engineer (LLM Applications)
AI EngineeringTaiwan / RemoteFull-timeRemote OK
Design and build LLM application systems — RAG, agents, eval pipelines and deployment. Turn model capability into product capability.
- Hands-on experience with LLM applications or ML systems (personal projects count)
- Fluent in Python and at least one web backend
- Practical sense for prompt engineering, evaluation and cost optimization
Data Engineer
Data PlatformTaiwan / RemoteFull-timeRemote OK
Build the data foundation behind AI products: ingestion pipelines, warehousing, vector indexes and data quality.
- Experience building ETL/ELT pipelines or data warehouses
- Strong SQL and Python; understands data modeling
- Has written code others inherited — and is proud of it
Open application
No opening that fits? Introduce yourself.
Tell us what you're great at and what you want to solve. Open applications get read just as seriously — and internal-startup pitches are more than welcome.