Senior AI Engineer, Platform Integration

Shape the Future of AI in Capital Markets and Legal Disclosure At Toppan Merrill, we're building Quinn, a cloud-based platform that helps law firms, investment banks, and public companies draft, review, and file SEC documents, including IPO registration statements, prospectuses, proxy statements, and annual and quarterly reports We're applying AI to one of the most consequential document workflows in the world, where precision, trust, and accountability matter most. You'll join a small, highly visible team, work directly with senior engineering leadership, and engage with some of the world's largest law firms In this role, you'll be the founding engineer for how outside AI tools such as Harvey and ChatGPT Enterprise securely connect to Quinn. turning it into a service a law firm's security team will approve is the core of this role. Productionize the integration service (an MCP server) that outside AI tools connect to, over the Streamable transport Enforce what each outside tool may do: which actions its permissions allow, and which documents are on each client firm's approved list, denying everything else by default Design controls for AI-specific risks, including tool misuse driven by content in documents and abnormal bulk access to documents Test with at least two external AI tools, and support client firms' security reviews Build an internal command-line tool for our operations teams on the same service You'll also work with a backend engineer building the matching controls inside the Quinn platform, and with the IT and innovation teams at our design partner law firms Implement the approved-document list and the audit log Connect a first external AI tool end to end Experience building services that external customers or partners integrate with, including security reviews Strong in TypeScript (Node.js) or Python, and comfortable working in the other; Experience integrating with customers' identity providers (OIDC or SAML federation, multi-tenant SSO) Experience integrating with enterprise legal software (document management systems, Harvey, or similar) 6+ years of backend or platform engineering Model Context Protocol (MCP) servers, or AI tool and agent integrations At least two different AI platforms connected Please note that actual salaries may vary within, above, or below this range based on factors such as education, training, experience, professional achievement, business needs, and location Enhanced Medical, Dental, Vision and, Life insurance for employees and dependents Paid time off including vacation, sick, community involvement, bereavement, jury duty, and holidays Paid community involvement/volunteer days Wellness Resources and Employee Assistance Programming Qualified individuals, including qualified women, minorities, individuals with disabilities and veterans, are encouraged to apply