Senior Software Engineer - AI Platform Team

Coinbase is a company on a mission to increase economic freedom, and they are seeking a Senior Software Engineer on the AI Platform team. The role involves building and operating the LLM and agent infrastructure that supports various teams at Coinbase, leading technical initiatives, and shaping applied AI strategy.

Responsibilities:

• Own the architecture and delivery of core platform systems including the LLM Gateway (60+ models, auth, PII redaction, fallbacks, cost optimization), AI Hub, and agent runtime with microVM sandboxes and governed MCP gateway
• Drive the design and implementation of Knowledge Base infrastructure, connecting data sources to auto-provisioned vector and markdown stores queryable by any agent
• Lead AI FinOps capabilities including spend attribution, governance, and cost optimization across all AI workloads company-wide
• Partner across engineering, security, legal, finance, product, and external partners at frontier labs and major cloud providers to ship high-impact platform capabilities
• Build evaluation and observability tooling including LLM-as-judge harnesses, full tracing, and feedback loops that let subject matter experts refine production agents
• Shape applied AI strategy by embedding with teams to build production agents, applying fine-tuning and traditional ML where it outperforms prompting

Requirements:

• 5+ years of software engineering experience with demonstrated expertise building ML/AI infrastructure, LLM systems, or distributed platform services at scale
• Demonstrated ability to lead multi-quarter initiatives end-to-end, from technical design through production operation, with measurable platform-wide impact
• Deep expertise in LLM orchestration patterns, agent frameworks, vector databases, and model serving infrastructure across multiple providers
• Proven track record of cross-functional partnership with security, legal, and product teams to ship governed, production-grade AI systems
• Fluency in Python and at least one systems language (Go, Rust, or C++), with production experience building APIs, microservices, and runtime environments
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality