Requirements
- 5+ years of experience in software engineering, with proven expertise in designing, building, and maintaining production services using a microservices architecture.
- Hands-on experience building LLM-based applications or AI/ML systems in production, including prompt engineering, retrieval-augmented generation (RAG), or agentic AI frameworks.
- Proficiency in Python and Golang (or comparable backend languages), with experience integrating third-party AI models and APIs into production workflows.
- Track record of delivering end-to-end projects with measurable business impact in ambiguous problem spaces.
- Experience building data pipelines, integrating with external vendors, or working with large-scale unstructured data sources (e.g., blockchain data, customer interaction logs).
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
Nice to Have
- Experience navigating rapid company growth (e.g., from startup to mid-size).
- Familiarity with GenAI frameworks/tools, Python, GoLang, Docker, Postgres, MongoDB.
- Background in AI/LLM infrastructure is a strong plus.
Work Arrangement
Hybrid
Additional Information
- Coinbase is a remote-first, but not remote-only company.
- Expect to get together quarterly for intense in-person working sessions called 'surges'.
