Senior Software Engineer, AI Platform Team

Coinbase

Remote

Quick summary

Work type
Remote
Location
Remote
Posted
4 days ago

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Salary context

How this pay compares to similar roles

Similar $202k
$157k most similar roles pay here $262k

This listing doesn't post a salary. Most similar roles pay $167,487–$235,812.

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 70 open roles on FindRole.

Listed pay typically runs $186,065–$218,900 across 59 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 agents across the company. Your day-to-day tasks include developing the LLM Gateway to manage over 60 models from various providers, creating the AI Hub as a central interface for all AI components, and ensuring secure microVM sandboxes for agent runs. You will also work on Knowledge Bases that connect diverse data sources and enable efficient querying through MCP, while managing AI Spend Hub for cost governance. Additionally, you will contribute to evaluation tools and observability features, collaborate with cross-functional teams to build production agents, and ensure responsible use of generative AI. This role involves multi-quarter initiatives and requires expertise in Python, Kubernetes, and cloud services, as well as a deep understanding of LLMs and agent technologies.

What you'll do

  • Develop and maintain a unified API for accessing over 60 AI models.
  • Design and implement a centralized hub for managing AI agents and resources.
  • Create secure microVM sandboxes for executing AI agents with governance controls.
  • Build knowledge bases that connect various data sources for agent queries.
  • Establish financial oversight tools for tracking and governing AI spending.
  • Develop evaluation frameworks and observability tools for AI performance monitoring.
  • Embed with teams to build, refine, and deploy production-level AI agents.

What we're looking for

  • Extensive experience with large language models (LLMs) across multiple providers.
  • Proficiency in building and deploying AI agents, including microVM sandboxes and governance gateways.
  • Expertise in knowledge base integration and queryable data sources for AI agents.
  • Strong background in AI spend management and cost optimization at scale.
  • Experience in evaluating LLM performance with full tracing and evaluation tools.
  • Applied AI development, including traditional ML techniques and fine-tuning.
  • Ability to work on multi-quarter initiatives and collaborate across various departments.

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