
11 - 50 employees
🤖 Artificial Intelligence
☁️ SaaS
Artificial Intelligence • SaaS • Legal
Spellbook is an innovative AI companion designed specifically for commercial lawyers, offering advanced legal tools to streamline and enhance the process of drafting and reviewing contracts. It allows users to draft from scratch or saved libraries, review and redline contracts to catch risks, compare contracts against industry standards, and get quick answers to complex legal questions. Trusted by over 2,600 law firms and in-house teams worldwide, Spellbook integrates with popular platforms such as Word and is powered by advanced AI models like GPT-4. It enhances efficiency for legal professionals across various areas, including real estate, intellectual property, mergers and acquisitions, and more, by providing a secure and compliant service.
🕒 May 20
Improve your chances of getting an interview by checking your resume score before you apply.

11 - 50 employees
🤖 Artificial Intelligence
☁️ SaaS
Artificial Intelligence • SaaS • Legal
Spellbook is an innovative AI companion designed specifically for commercial lawyers, offering advanced legal tools to streamline and enhance the process of drafting and reviewing contracts. It allows users to draft from scratch or saved libraries, review and redline contracts to catch risks, compare contracts against industry standards, and get quick answers to complex legal questions. Trusted by over 2,600 law firms and in-house teams worldwide, Spellbook integrates with popular platforms such as Word and is powered by advanced AI models like GPT-4. It enhances efficiency for legal professionals across various areas, including real estate, intellectual property, mergers and acquisitions, and more, by providing a secure and compliant service.
• 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
• 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 convert high-impact problems into clear plans and successful outcomes. • Strong communication skills for technical decision explanations to various audiences. • Self-starter and problem-solver with a desire to help others. • Pragmatic, knowing where scaling is necessary versus unnecessary. • Team player motivated to provide solutions and improve team performance.
• 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
Apply Now🕒 May 20
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Switching