Senior Software Engineer - AI Platform Team

Coinbase

Remote

Quick summary

Work type
Remote
Location
Oakland, CA
Posted
4 days ago

Market check

Salary context

How this pay compares to similar roles

Similar $201k
$156k most similar roles pay here $257k

This listing doesn't post a salary. Most similar roles pay $165,852–$235,750.

Based on 240 similar postings.

Employer

About Coinbase

Coinbase Global is a publicly traded cryptocurrency exchange platform where consumers can buy, sell, and store digital currencies including Bitcoin, Ethereum, and hundreds of other cryptocurrencies. Industry: Cryptocurrency Exchange & Financial Technology

Coinbase currently has 34 open roles on FindRole.

Listed pay typically runs $186,065–$218,900 across 29 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer - AI Platform Team

As a Senior Software Engineer on the AI Platform team at Coinbase, you will be responsible for building and maintaining critical infrastructure that supports large language models (LLMs) and intelligent agents across the company. Your day-to-day duties include developing the LLM Gateway to manage over 60 models from various providers, creating the AI Hub as a central interface for agent management, and ensuring secure microVM sandboxes for agent runtime execution. You will also work on Knowledge Bases that connect diverse data sources and enable efficient querying through vector and markdown stores. Additionally, you’ll contribute to the Evaluation and Observability suite, which includes an in-house LLM evaluation system with full tracing capabilities. This role requires expertise in cloud technologies, Python, and a deep understanding of AI governance and FinOps principles. You will collaborate closely with engineering, security, legal, finance, and product teams to deliver high-impact initiatives that drive the company’s AI strategy forward.

What you'll do

  • Design and maintain a unified API for accessing over 60 AI models.
  • Develop and manage an AI Hub providing access to various agent components.
  • Implement secure microVM sandboxes for running agents with governance controls.
  • Create Knowledge Bases that connect any data source for agent queries.
  • Establish cost management tools for tracking and governing AI expenditures.
  • Build evaluation frameworks with in-house LLMs for assessing model performance.

What we're looking for

  • Extensive experience in building and managing large-scale AI infrastructure.
  • Proficiency in developing APIs for multiple machine learning models across providers.
  • Expertise in creating secure microVM sandboxes for agent runs and governance.
  • Strong background in knowledge base integration and data source connectivity.
  • Experience in evaluating and optimizing AI spend with attribution tools.
  • Ability to partner effectively across engineering, security, legal, finance, and product.

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