Forward Deployed Engineer - Spellbook

Spellbook is 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'll deploy and customize AI-powered systems that integrate seamlessly with document management systems, internal tools, knowledge stores, identity systems, and other enterprise infrastructure.

About the Role

Operating at the intersection of engineering, product, and customer success, you will focus on:

• Owning enterprise deployments: Partner closely with customers to understand legal workflows and technical environments. Lead end-to-end implementation in complex enterprise organizations and translate 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 direction of the platform.

Responsibilities

• Own enterprise deployments end-to-end: Partner with customers to understand legal workflows and technical environments; lead implementations in complex organizations; translate ambiguous requirements into production systems.
• Build integrations and AI-native workflows: Integrate Spellbook with document management systems (e.g., iManage, NetDocuments), identity systems, and internal APIs. Design and implement workflow-heavy solutions tailored to real enterprise constraints and tools.
• Tailor and extend the product for customers: Tune model inference, augment context, and adapt the product experience to meet specific customer needs across deployments.
• Drive adoption and impact: Work closely with end users (lawyers and legal ops), iterate rapidly based on feedback, and ensure solutions are reliable, performant, and actively used.
• Feed insights back into the platform: Identify repeatable patterns across deployments and influence core roadmap and platform capabilities by turning custom work into scalable features.

The Tech Stack

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

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, with the 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.