Spellbook is the most comprehensive AI copilot for transactional lawyers. It works directly inside Microsoft Word to help legal teams draft, review, and negotiate contracts up to 10x faster and with greater precision. Today, more than 4,000 law firms, in-house teams, and solo practitioners rely on Spellbook to simplify their workflows and eliminate the drudgery of everyday contract work.

We are backed by leading investors including Khosla Ventures, Thomson Reuters Ventures, Inovia Capital, The LegalTech Fund, Bling Capital, and Moxxie Ventures.

About The

RoleYou’ll build the backend systems that power Spellbook’s product experiences, including both traditional software services and AI-driven workflows. Js, TypeScript, Express, tRPC, MongoDB, Docker, AWS, CDK, LLM providers (OpenAI, Anthropic, and others) 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, protected degradation Partner closely with Product and Design to make good tradeoffs between latency, accuracy, UX, and reliability. You have 5+ years of experience building backend systems in production. You have strong fundamentals in backend engineering and distributed systems: APIs, data modeling, concurrency, queues,



AI inference You have strong NoSQL (ideally MongoDB) data modeling and performance tuning: schema design/denormalization tradeoffs, indexing strategy, query optimization, and profiling/diagnosing bottlenecks in production.

You can take an ambiguous, high-impact problem from "we should do something here" to a clear plan and shipped outcome. You can write and explain technical decisions clearly to engineers and non-engineers. You are a self-starter and problem-solver motivated by curiosity and a desire to help others succeed, encouraged by continuous improvement.

You are pragmatic and understand that not everything we ship needs to scale, but know where to draw the line You are a team player who is motivated to help Spellbook succeed. When things break you are eager and able to help fix them. You think of and implement ways to help and improve the work of the team as a whole.

Experience building LLM-powered systems in production, including prompt iteration, tool/function calling, retrieval patterns, and agent orchestration.

Experience operating high-scale retrieval systems (vector + lexical search) and measuring/tuning retrieval quality and latency in production.





Experience building evaluation frameworks (quality metrics, dataset curation, regression testing).

Experience with AWS CDK and operating production services in AWS. Embrace autonomy and accountability in a flexible work environment; 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 We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Use of Artificial Intelligence in RecruitmentSpellbook uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process.

This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience.

Our Compensation

PhilosophySpellbook uses industry benchmark data to establish compensation bands for all roles. In addition to base salary and applicable commissions, total rewards may include equity, health and wellness benefits, and other company programs.

📌 Senior Backend / Ai Systems Engineer (Winnipeg)
🏢 Spellbook
📍 Winnipeg