Senior Software Engineer – AI Platform

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $186.1k - $218.9k / year

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

🦅 H1B Visa Sponsor

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Logo of Coinbase

Coinbase

1001 - 5000 employees

Founded 2012

💼 Consulting

₿ Crypto

💸 Finance

💰 $21.4M Post-IPO Equity on 2022-11

Consulting • Crypto • Finance

Coinbase is a leading cryptocurrency exchange platform that allows individuals and institutions to buy, sell, and trade various crypto assets such as Bitcoin and Ethereum. The company offers advanced trading tools, institutional solutions, and a self-hosted wallet for storing and managing cryptocurrencies. With a strong focus on security and transparency, Coinbase provides a trusted platform used by millions globally. It supports various features including staking, earning rewards, and spending crypto through their cards. Additionally, Coinbase provides developer tools and APIs for building onchain applications, making it a comprehensive hub for engaging in the crypto economy.

📋 Description

• Own the architecture and delivery of core platform systems including the LLM Gateway, AI Hub, and agent runtime with microVM sandboxes and governed MCP gateway • Design and implement Knowledge Base infrastructure connecting data sources to auto-provisioned vector and markdown stores • Lead AI FinOps capabilities including spend attribution, governance, and cost optimization across company-wide AI workloads • Partner with engineering, security, legal, finance, product, frontier labs, and major cloud providers • Build evaluation and observability tooling including LLM-as-judge harnesses, tracing, and feedback loops • Shape applied AI strategy by embedding with teams to build production agents and applying fine-tuning or traditional ML where appropriate

🎯 Requirements

• 5+ years of software engineering experience building ML/AI infrastructure, LLM systems, or distributed platform services at scale • Ability to lead multi-quarter initiatives 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 • Experience partnering cross-functionally 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++ • Production experience building APIs, microservices, and runtime environments • Responsible use of generative AI with human oversight and measurable workflow, cost, and quality improvements

🏖️ Benefits

• Equity and bonus eligibility • Medical, dental, and vision benefits • 401(k) • Remote-first work arrangement • Quarterly in-person working sessions (“surges”) • Reasonable accommodations for individuals with disabilities

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