Forward Deployed Engineer - Spellbook

Spellbook is the most comprehensive AI copilot for transactional lawyers, helping legal teams draft, review, and negotiate contracts up to 10x faster. Backed by leading investors including Khosla Ventures and Thomson Reuters Ventures, we recently raised a $50 million Series B funding round.

About the Role

We are seeking a Forward Deployed Engineer to work directly with large law firms and in-house legal teams to integrate Spellbook into real-world enterprise environments and workflows. You will deploy and customize AI-powered systems that integrate seamlessly with document management systems, internal tools, knowledge stores, and identity systems.

Key Areas of Focus:

• Owning enterprise deployments: Partner closely with customers to understand legal workflows and technical environments, leading end-to-end implementation and translating ambiguous requirements into production-ready systems.
• Building AI-native workflows: Design and implement workflow-heavy solutions that integrate cleanly into enterprise tools and processes, including approvals, permissions, routing, auditability, and review loops.
• Driving customer impact: Work directly with end users to iterate quickly on feedback, improve adoption, and identify repeatable patterns that help shape the future platform roadmap.

The Tech Stack

• Node.js, TypeScript, Express, tRPC, MongoDB, Docker, AWS, CDK
• LLM providers (OpenAI, Anthropic, and others)

Responsibilities

• Own enterprise deployments end-to-end from technical scoping to production release.
• Build integrations and AI-native workflows connecting Spellbook with document management systems (e.g., iManage, NetDocuments) and internal APIs.
• Tailor and extend the product by tuning model inference, augmenting context, and adapting the user experience for specific customer needs.
• Drive user adoption and capture actionable product insights to feed back into core platform capabilities.

Qualifications

• 3–7 years of experience building and shipping production software systems.
• Strong backend or full-stack engineering experience.
• Experience building APIs and integrating with external systems.
• Experience working with cloud environments (AWS, GCP, or Azure).
• Exposure to LLM systems (e.g., RAG, prompting, evaluations).
• Comfortable working directly with enterprise customers.
• Strong ownership and ability to take vague problems from definition to shipped solution.

Nice to Haves

• Experience with enterprise SaaS deployments.
• Familiarity with legal technology or document-heavy workflows.
• Experience with security, compliance, and data handling practices such as SOC2.
• Experience designing and building infrastructure on AWS with CDK.
• Experience in fast-paced startup environments.