Senior Staff Software Engineer, Legal Automation
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.
About the job
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 Engineering, Llm Applications, Multi-Agent Orchestration, Distributed Systems, Evaluation Frameworks, Human-In-The-Loop Design, Guardrails, Grounding, Observability, Generative Ai Tools
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