C
Coinbase
Senior Software Engineer (AI Platform Team)
Skills
RustPythonGolangMicroservicesMachine LearningAI
3 months ago
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Important information
Contract type:
Permanent
Salary:
$186,065 – $218,900 / year
Location:
United States
Work mode:
Onsite
Published on:
7 August 2026
What they need
- As a Senior Software Engineer on the AI Platform team within the Platform group, you’ll build and operate the LLM and agent infrastructure that every team at Coinbase depends on
- This team owns the company’s single path to large language models and the full agent lifecycle: build, deploy, run, observe, and improve
- You’ll lead multi-quarter technical initiatives across the platform, from gateway and runtime systems to knowledge bases and applied AI agents, directly shaping how Coinbase scales AI across the organization
- 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- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality
- Proven track record of cross-functional partnership with security, legal, and product teams to ship governed, production-grade AI systems
- Deep expertise in LLM orchestration patterns, agent frameworks, vector databases, and model serving infrastructure across multiple providers
- Fluency in Python and at least one systems language (Go, Rust, or C++), with production experience building APIs, microservices, and runtime environments
- 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
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