Senior Backend – AI Systems Engineer

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Spellbook

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

⚖️ Legal

☁️ SaaS

🤖 Artificial Intelligence

Legal • SaaS • Artificial Intelligence

Spellbook is an AI-powered contract management and automation platform that helps legal teams and law firms review, draft, compare and manage contracts end-to-end. The product provides AI contract review (redlines and risk flags), drafting from precedents or from scratch, market-comparisons, an AI assistant for multi-document workflows, and searchable indexed contract storage. It integrates with tools where deals start (email, Slack, Salesforce) and works directly inside Word. Spellbook emphasizes security and privacy (Zero Data Retention agreements, SOC 2 Type II compliance) and is positioned for in-house legal teams and law firms, claiming adoption by 4,500+ teams across 80+ countries and acceleration of over 10 million contracts.

📋 Description

• Build and scale backend systems that support core product functionality across Spellbook (Reviews, Chat, Library, and more). • Design low-latency, high-reliability search, inference, and orchestration layers for AI features • Build and operate RAG retrieval at scale with production-grade performance optimization and permissions-correct data isolation. • Own core platform concerns for AI: rate limiting, retries, consistency, fallbacks, safe degradation • Partner closely with Product and Design to make good tradeoffs between latency, accuracy, UX, and reliability. • Use modern development workflows, including agent-assisted coding, to accelerate delivery while maintaining rigorous review, testing, and security standards. • Participate in on-call and incident response as needed, and improve feature reliability in the process

🎯 Requirements

• 5+ years of experience building backend systems in production. • Strong fundamentals in backend engineering and distributed systems: APIs, data modeling, concurrency, queues, AI inference • Strong NoSQL (ideally MongoDB) data modeling and performance tuning: schema design/denormalization tradeoffs, indexing strategy, query optimization, and profiling/diagnosing bottlenecks in production. • Ability to take an ambiguous, high-impact problem from “we should do something here” to a clear plan and shipped outcome. • Strong communication skills to explain technical decisions clearly to engineers and non-engineers. • Self-starter and problem-solver motivated by curiosity and a desire to help others succeed, encouraged by continuous improvement. • Pragmatic understanding of scaling and trade-offs. • Team player motivated to help Spellbook succeed. Eager and able to help fix issues and improve the work of the team as a whole.

🏖️ Benefits

• Access our company-paid group benefits for you and your family, with $1,000 towards mental health support • Disconnect during our holiday closure and take advantage of our generous time off policies throughout the year • Enjoy monthly paid meals, an annual wellness allowance to support your well-being and parental leave top-ups as your family grows • Secure your stake in our success; you’ll receive competitive stock option grants as a pivotal early employee