Senior Staff Software Engineer, Legal Automation

🕒 Julho 14

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $253.895 - $298.700 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

🦅 Patrocina Visto H1B

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👻 Score fantasma 10%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Coinbase

Coinbase

1001 - 5000 funcionários

Fundada em 2012

💼 Consultoria

₿ Cripto

💸 Finanças

💰 $21.400.000 Post-IPO Equity em 2022-11

Consulting • Crypto • Finance

A Coinbase é uma exchange de criptomoedas líder que permite que pessoas físicas e instituições comprem, vendam e negociem diversos criptoativos, como Bitcoin e Ethereum. A empresa oferece ferramentas avançadas de trading, soluções institucionais e uma carteira de autocustódia para armazenar e gerenciar criptomoedas. Com forte foco em segurança e transparência, a Coinbase disponibiliza uma plataforma confiável usada por milhões de pessoas no mundo todo. Ela oferece diversos recursos, incluindo staking, ganhos de recompensas e a possibilidade de gastar cripto por meio de seus cartões. Além disso, a Coinbase fornece ferramentas para desenvolvedores e APIs para construir aplicações onchain, tornando-se um hub completo para participar da economia cripto.

Descrição

• Architect and build Legal AI infrastructure — Design and ship a platform of AI agents and automated workflows that replace high-volume, templated legal work including institutional client agreement redlining, SEC filing support, subsidiary governance workflows, and commercial deal processing. • Own the institutional client agreement automation system — Our highest-priority use case: build an end-to-end agentic workflow that ingests counterparty markups, evaluates them against a structured playbook, generates a first-pass redline with comments, routes for human review, and tracks outcomes. This is a production-grade system affecting 220+ institutional clients in pipeline. • Build a cohesive agent platform and governance layer — Consolidate a fragmented set of ad-hoc bots and agents into a consistent, documented, maintainable platform with naming conventions, personas, observability, and standards for how Legal agents are built and deployed. • Act as the technical thought partner to the VP and the broader Legal leadership team — Translate complex legal workflows into engineered systems, and translate engineering constraints back to non-technical stakeholders. The ability to bridge these worlds is as important as the engineering itself. • Define the make-vs-buy strategy — Evaluate and retire third-party legal tech tools (Harvey, etc.) in favor of purpose-built internal solutions where Coinbase's engineering strength gives us a structural advantage. • Be the case study — This role is explicitly designed to be a pilot for forward-deployed engineering in non-technical organizations at Coinbase. Success here creates the playbook for how other functions (Finance, HR, Operations) can undergo the same transformation.

🎯 Requisitos

• 12+ years of backend software engineering experience, with a track record of shipping production systems at scale • Proven experience getting LLM-based applications to production — including evaluation frameworks, grounding, guardrails against hallucination, and human-in-the-loop design • Multi-agent orchestration experience — you've designed and operated systems where multiple AI agents collaborate, hand off work, and escalate to humans appropriately • Exceptional ability to communicate with and learn from non-technical domain experts — you don't need to know legal terminology on day one, but you need to rapidly internalize complex workflows and translate them into engineered systems • Platform mindset — you think in primitives, reusability, and standards, not just point solutions • Distributed systems fundamentals — the agreement automation system will touch document processing, structured playbook evaluation, routing logic, and audit trails; you need to architect this correctly from day one • Relentless drive to set and achieve ambitious goals in ambiguous, greenfield environments • Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs

🏖️ Benefícios

• medical, dental, vision • 401(k)

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