Senior AI Platform Engineer - LLM & Agent Infra Lead

Coinbase

Atlanta (GA)

Hybrid

USD 186,000 - 219,000

Full time

14 days+
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Job summary

Coinbase is seeking a Senior Software Engineer for the AI Platform to build and operate the LLM and agent infrastructure used company-wide. You will own core platform systems, including the LLM Gateway, AI Hub, and agent runtime with sandboxing and governance, enabling scalable AI across Coinbase.

You will lead multi-quarter initiatives, partner with security, legal, finance and product teams, and drive cost optimization and observability across AI workloads, shaping the future of enterprise AI

Qualifications

  • 5 years of software engineering experience with ML/AI infra, LLM systems or large-scale platform services.
  • Proven track record leading cross-functional work with security, legal and product teams.
  • Fluency in Python and at least one systems language (Go, Rust or C).

Responsibilities

  • Own architecture and delivery of core platform systems including the LLM Gateway and agent runtime.
  • Design Knowledge Base infrastructure connecting data sources to vector/markdown stores.
  • Lead AI FinOps capabilities across all AI workloads with governance and cost optimization.
  • Collaborate with security, legal, product and cloud providers to ship platform capabilities.
  • Build evaluation and observability tooling for production agents and governance.
  • Shape applied AI strategy with teams on production agents and ML techniques.

Skills

Python
Go
Rust
C
LLM infrastructure
API design
Distributed systems

Job description

Coinbase is seeking a Senior Software Engineer for the AI Platform to build and operate the LLM and agent infrastructure used company-wide. You will own core platform systems, including the LLM Gateway, AI Hub, and agent runtime with sandboxing and governance, enabling scalable AI across Coinbase.

You will lead multi-quarter initiatives, partner with security, legal, finance and product teams, and drive cost optimization and observability across AI workloads, shaping the future of enterprise AI

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