Job Overview
Location
Remote - Canada
Job Type
Full-time
Category
Backend Engineer
Date Posted
May 21, 2026
Full Job Description
đź“‹ Description
- • Build and scale backend systems that power Spellbook’s core product features including Reviews, Chat, and Library, ensuring high reliability and low latency for legal professionals.
- • Design and implement AI-driven workflows such as search, inference, and orchestration layers that support LLM-powered contract drafting and review functionalities.
- • Develop and operate Retrieval-Augmented Generation (RAG) systems at production scale with strict data isolation, permissions control, and performance optimization.
- • Own critical platform concerns for AI systems including rate limiting, retry strategies, consistency guarantees, fallback mechanisms, and safe degradation pathways during failures.
- • Collaborate directly with Product and Design teams to make informed tradeoffs between latency, accuracy, user experience, and system reliability in high-stakes legal contexts.
- • Apply modern development practices such as agent-assisted coding to accelerate delivery while maintaining rigorous code review, testing, and security standards.
- • Participate in on-call rotations and incident response for production services, proactively improving system reliability through root cause analysis and prevention strategies.
- • Model and optimize NoSQL data structures in MongoDB, including schema design, denormalization decisions, indexing strategies, query optimization, and performance profiling to handle high-volume legal document data.
- • Integrate with and manage interactions with LLM providers such as OpenAI and Anthropic, ensuring efficient, cost-effective, and compliant API usage in production.
- • Operate and maintain infrastructure using Docker, AWS, and CDK to deploy, monitor, and scale services reliably across a remote, distributed engineering team.
- • Communicate technical decisions clearly to both engineering and non-engineering stakeholders, translating complex system behavior into actionable insights for product and legal teams.
- • Approach ambiguous problems with autonomy, turning vague requirements like "we should do something here" into defined, shipped solutions with measurable outcomes.
- • Prioritize pragmatism in system design—recognizing when scale is necessary versus when simplicity and speed deliver greater value to users.
- • Actively contribute to team-wide improvements by identifying bottlenecks, suggesting tooling enhancements, and supporting peer development through collaboration and knowledge sharing.
🎯 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 ambiguous, high-impact problems from concept to shipped outcome
- • Strong communication skills to explain technical decisions to engineers and non-engineers
- • Pragmatic mindset to balance scalability with simplicity and know when to draw the line
🏖️ Benefits
- • Company-paid group benefits for you and your family, with $1,000 towards mental health support
- • Generous time off policies including holiday closure and paid monthly meals
- • Annual wellness allowance and parental leave top-ups
- • Competitive stock option grants as a pivotal early employee
Skills & Technologies
About Spellbook Legal Inc.
Spellbook Legal is a legal technology company that leverages artificial intelligence to assist legal professionals. Their core product is an AI-powered drafting tool designed to help lawyers generate, review, and analyze legal documents more efficiently. By integrating with existing legal workflows, Spellbook aims to reduce the time and cost associated with legal work, making legal services more accessible and improving productivity for law firms and in-house legal departments. The company operates within the rapidly growing legal tech industry, focusing on innovation and the application of advanced AI to transform legal practice.
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