Senior Software Engineer, Backend – Core AI Automation

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $186.1k - $218.9k / year

⏰ Full Time

🟠 Senior

🔙 Backend 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

• Design and deliver agentic AI systems for customer support and compliance automation • Build scalable, secure backend infrastructure in Python and Golang for AI workloads • Develop model integration pipelines, guardrails, grounding mechanisms, and measurement frameworks • Drive end-to-end execution of complex AI initiatives while balancing latency, accuracy, cost, and reliability • Partner with Customer Experience, Compliance, and product engineering teams to identify automation opportunities • Translate operational pain points into AI-powered solutions • Lead code reviews and mentor engineers on AI system design patterns • Contribute to on-call rotations and incident response

🎯 Requirements

• 5+ years of experience in software engineering with expertise designing, building, and maintaining production services using microservices architecture • Hands-on experience building LLM-based applications or AI/ML systems in production • Experience with prompt engineering, retrieval-augmented generation (RAG), or agentic AI frameworks • Proficiency in Python and Golang or comparable backend languages • Experience integrating third-party AI models and APIs into production workflows • Track record of delivering end-to-end projects with measurable business impact in ambiguous problem spaces • Experience building data pipelines, integrating with external vendors, or working with large-scale unstructured data sources • Responsible use of generative AI with human oversight • Familiarity with GenAI frameworks/tools, Python, GoLang, Docker, Postgres, and MongoDB is a nice-to-have • Background in AI/LLM infrastructure is a strong plus

🏖️ Benefits

• Equity eligibility • Bonus eligibility • Medical insurance • Dental insurance • Vision insurance • 401(k) • Quarterly in-person working sessions (“surges”) • Reasonable accommodations for individuals with disabilities • Equal opportunity employment protections

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