Key skills
Distributed SystemsPythonRustSQLTypeScriptGoAIMLLLMCommunication
About this role
Role Overview
- Own meaningful technical work end-to-end — from design through deployment
- Build and maintain backend services, APIs, and data pipelines
- Collaborate with researchers and ML engineers to ship high-impact features
- Contribute to architectural decisions, not just implement them
- Write clean, well-tested, well-documented code
- Debug and resolve issues across complex distributed systems
- Participate in code reviews and help raise the technical bar
Requirements
- 3–5 years of professional software engineering experience
- Strong foundations in your core domain — backend, data, ML tooling, or full-stack
- Proficiency in Python and fluency in at least one additional language (TypeScript, Go, Rust, SQL, etc.)
- Experience working in production environments with real users
- Comfort with ambiguity and ability to operate autonomously
- Strong communication skills and collaborative working style
- Genuine interest in AI, LLMs, or data-driven systems
- Prior experience at an AI, ML, or data company (Nice to Have)
- Familiarity with LLM training, fine-tuning, or RLHF pipelines (Nice to Have)
- Experience with large-scale data pipelines or annotation platforms (Nice to Have)
- Open-source contributions or published technical writing (Nice to Have)
- Background working alongside AI research teams (Nice to Have)
Tech Stack
- Distributed Systems
- Python
- Rust
- SQL
- TypeScript
- Go
Benefits
- Competitive compensation and meaningful equity
- Direct impact on how frontier AI models are built
- Flexible, remote-friendly environment with low bureaucracy
- A small, high-caliber team with deep AI research expertise
- Health, wellness, and learning & development benefits