Senior Staff Software Engineer building an AI agent platform and automated workflows to transform Coinbase's Legal organization. Architect production-grade LLM and multi-agent systems that replace manual legal processes such as agreement redlining and governance.
254k – 299k
Remote12+ YOEML Engineering
About the role
What You'll Do
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 — 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.
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.
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.
Define the make-vs-buy strategy — Evaluate and retire third-party legal tech tools in favor of purpose-built internal solutions.
Be the case study for forward-deployed engineering in non-technical organizations at Coinbase.
Required Skills and Experience
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 — designing and operating systems where multiple AI agents collaborate, hand off work, and escalate to humans
Exceptional ability to communicate with and learn from non-technical domain experts
Platform mindset — thinking in primitives, reusability, and standards
Distributed systems fundamentals for document processing, structured playbook evaluation, routing logic, and audit trails
Relentless drive to set and achieve ambitious goals in ambiguous, greenfield environments
Demonstrates the ability to responsibly use generative AI tools and copilots in daily workflows
Nice-to-Haves
Experience with legal tech tools (e.g. Harvey)
Deep domain knowledge of legal workflows (governance, SEC filings, commercial agreements)
Skills
Backend EngineeringLlm ApplicationsMulti-Agent OrchestrationDistributed SystemsEvaluation FrameworksHuman-In-The-Loop DesignGuardrailsGroundingObservabilityGenerative Ai Tools
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