Senior AI Engineer, Platform Integration
Budget / Salary$135,000–175,000
TypeFull-time job
LocationUnited States
Posted2 hours ago
Job Description:
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. That means production-ready OAuth 2.1 with token exchange, deny-by-default authorization, and a complete audit trail, built on the emerging Model Context Protocol standard and held to the security bar of the most demanding enterprise clients there are.
The first thing Quinn will pilot with clients is this integration. A working prototype already exists; turning it into a service a law firm’s security team will approve is the core of this role. You’ll build it and own it after launch.
What you will do
Productionize the integration service (an MCP server) that outside AI tools connect to, over the Streamable HTTP transport
Implement sign-in with OAuth 2.1 using our identity provider (Okta), including token exchange so the service calls Quinn on behalf of the attorney and never passes an outside tool’s token through
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
Keep an immutable, exportable audit trail of every action an outside tool takes, including reads, that client firms can review
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
How you’ll work
You’ll own the integration service end to end and partner closely with our Identity and Security teams on the authorization design and client security reviews. 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.
First 90 days
Stand up the service with production sign-in in a test environment
Implement the approved-document list and the audit log
Connect a first external AI tool end to end
Required
6+ years of backend or platform engineering
Deep, hands-on OAuth 2.0 or 2.1 and OIDC experience: authorization servers, scopes, audience, PKCE, token exchange
Experience building services that external customers or partners integrate with, including security reviews
Security-first engineering habits: deny by default, least privilege, audit logging
Strong in TypeScript (Node.js) or Python, and comfortable working in the other; our services use both
Experience integrating with customers’ identity providers (OIDC or SAML federation, multi-tenant SSO)
Preferred
Model Context Protocol (MCP) servers, or AI tool and agent integrations
Okta administration or custom authorization servers
Experience integrating with enterprise legal software (document management systems, Harvey, or similar)
Success at 12 months
Pilot running with design partner firms, having passed Toppan Merrill’s security review and each firm’s own
Service passed an external penetration test with no open critical or high findings
At least two different AI platforms connected
Learn more at . About Toppan Merrill
We understand that your skills deserve recognition. That’s why we offer a competitive pay scale ranging from $135K–$175K annually, based on experience and expertise. We believe in compensating our dedicated team members fairly for their hard work and commitment. 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.
Toppan Merrill strives to provide our employees and loved ones with competitive benefits including:
Enhanced Medical, Dental, Vision and, Life insurance for employees and dependents
Employer Contribution to 401(k)
Paid time off including vacation, sick, community involvement, bereavement, jury duty, and holidays
Paid parental leave
Paid community involvement/volunteer days
Wellness Resources and Employee Assistance Programming
Toppan Merrill is an equal opportunity/affirmative action employer. Qualified individuals, including qualified women, minorities, individuals with disabilities and veterans, are encouraged to apply.
Originally posted on Himalayas
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. That means production-ready OAuth 2.1 with token exchange, deny-by-default authorization, and a complete audit trail, built on the emerging Model Context Protocol standard and held to the security bar of the most demanding enterprise clients there are.
The first thing Quinn will pilot with clients is this integration. A working prototype already exists; turning it into a service a law firm’s security team will approve is the core of this role. You’ll build it and own it after launch.
What you will do
Productionize the integration service (an MCP server) that outside AI tools connect to, over the Streamable HTTP transport
Implement sign-in with OAuth 2.1 using our identity provider (Okta), including token exchange so the service calls Quinn on behalf of the attorney and never passes an outside tool’s token through
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
Keep an immutable, exportable audit trail of every action an outside tool takes, including reads, that client firms can review
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
How you’ll work
You’ll own the integration service end to end and partner closely with our Identity and Security teams on the authorization design and client security reviews. 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.
First 90 days
Stand up the service with production sign-in in a test environment
Implement the approved-document list and the audit log
Connect a first external AI tool end to end
Required
6+ years of backend or platform engineering
Deep, hands-on OAuth 2.0 or 2.1 and OIDC experience: authorization servers, scopes, audience, PKCE, token exchange
Experience building services that external customers or partners integrate with, including security reviews
Security-first engineering habits: deny by default, least privilege, audit logging
Strong in TypeScript (Node.js) or Python, and comfortable working in the other; our services use both
Experience integrating with customers’ identity providers (OIDC or SAML federation, multi-tenant SSO)
Preferred
Model Context Protocol (MCP) servers, or AI tool and agent integrations
Okta administration or custom authorization servers
Experience integrating with enterprise legal software (document management systems, Harvey, or similar)
Success at 12 months
Pilot running with design partner firms, having passed Toppan Merrill’s security review and each firm’s own
Service passed an external penetration test with no open critical or high findings
At least two different AI platforms connected
Learn more at . About Toppan Merrill
We understand that your skills deserve recognition. That’s why we offer a competitive pay scale ranging from $135K–$175K annually, based on experience and expertise. We believe in compensating our dedicated team members fairly for their hard work and commitment. 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.
Toppan Merrill strives to provide our employees and loved ones with competitive benefits including:
Enhanced Medical, Dental, Vision and, Life insurance for employees and dependents
Employer Contribution to 401(k)
Paid time off including vacation, sick, community involvement, bereavement, jury duty, and holidays
Paid parental leave
Paid community involvement/volunteer days
Wellness Resources and Employee Assistance Programming
Toppan Merrill is an equal opportunity/affirmative action employer. Qualified individuals, including qualified women, minorities, individuals with disabilities and veterans, are encouraged to apply.
Originally posted on Himalayas
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