
Senior AI Engineer, Platform Integration
Saint Paul, MNFull-time$135–175K/yrSeen 4 days agoSeen in employer's feed 4 days ago
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At a glance
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Job overview
Toppan Merrill is building Quinn, a cloud-based platform for drafting, reviewing, and filing SEC documents. The Senior AI Engineer will found and own the service that securely connects external AI tools to Quinn, turning an existing prototype into a production-ready integration that meets enterprise security requirements. The role partners with Identity and Security teams, backend engineering, and design-partner law firms.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Job Duties
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 https://www.toppanmerrill.com/careers/. About Toppan Merrill
We understand that your skills deserve recognition. That's why we offer a competitive pay scale ranging from$135K-$175Kannually, 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.
Toppan Merrill is an equal opportunity employer (EEO) and furthers the principles of EEO through Affirmative Action.
Minimum Education Required
High School Diploma or Equivalent
Minimum Experience Required
None
Shift
First (Day)
Number of Openings
1
Public Transportation Accessible
Yes
Veterans Encouraged to Apply
No
Physical Required
Yes
Drug Test Required
Yes
Compensation
$11.41 / Hourly
Postal Code
55108
Job Type
Full Time
Place of Work
On-site
Requisition ID
R35574
Job Benefits
Not specified
How this job compares
Set against the 6,795 open AI Engineer jobs on Olive Jobs, counted November 1, 2026.
- Pay
- This posting$135–175K/yr
- Minnesota median$116–215K/yr109 salary ranges
- US median$133–241K/yr5,579 salary ranges
This range's midpoint, $155K, is 7% below the Minnesota median midpoint ($167K) — in the middle half of AI Engineer salary ranges in Minnesota.
- Openings
- Olive Jobs lists 120 open AI Engineer jobs in Minnesota and 6,795 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 6 years of experience; AI Engineer postings that state a minimum ask for 5 years at the median (5,736 postings).
- Education
- This posting asks for a high school diploma; 3,013 of the 6,795 open AI Engineer jobs (44%) ask for a high school diploma or higher.
Counted across the open, public US postings on Olive Jobs on November 1, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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