Sr AI Engineer - Product
Listed by employer · Checked
Older posting · still listed ·
- Work arrangement
- remote
- Employment
- FullTime
- Stated compensation
- USD 126,000–214,900 1 YEAR
Does the location policy fit?
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Likely eligible to apply remotely
Checked for applicants in United States; employer sponsorship is not needed. Based on the source posting · not a hiring or work-authorization guarantee.
The stated geographic scope includes your country.
Why this result?
2 supporting signals
- The stated geographic scope includes your country.
- The role is described as remote; geographic restrictions still apply.
2 still unclear
- Visa sponsorship is not specified.
- Confirm that you can meet the stated working-hour or timezone requirements.
The employer’s posting date is more than 60 days ago. It remained listed at our last successful check; it may be a long-running or evergreen opening. Confirm availability on the original posting before applying.
Browse jobs posted in the past 60 days →This checks the posting’s stated requirements, not your legal right to work. Confirm details with the employer.
Requirements
3 with evidence6 unclear or unstated- Remote policy
- remote
“Provider workplace type: remote”
From employer posting metadata - Geographic scope
- US
“Provider location: US Remote”
From employer posting metadata - Timezone / hours
- exact tool overlap matters less than strong product engineering fundamentals.
“exact tool overlap matters less than strong product engineering fundamentals.”
See matched passage in original description ↓ - Employment type
- FullTime
- Compensation
- USD 126,000–214,900 1 YEAR
6 fields not stated in this posting
- Employer sponsorship
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
- Citizenship requirement
- Not mentioned
- Minimum experience (years)
- Not specified
- Work authorization
- Not specified
These details were not stated in the tracked posting. Confirm with the employer.
Original job description
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Original formatting and links
Build financial products that help credit union members move forward.
MeridianLink recently expanded its digital lending platform through the acquisition of Credit Mountain, an AI-native financial wellness platform that helps financial institutions empower consumers through personalized credit education, digital financial coaching, and progress tracking.
Credit Mountain’s capabilities are now part of MeridianLink Pathway and MeridianLink Coach, creating a connected experience designed to help financial institutions turn loan declines into future lending opportunities. Together, these solutions help borrowers better understand where they stand today, identify actionable next steps, and return as stronger applicants in the future.
Meridianlink Coach powers adverse action notices, warm-decline journeys, credit monitoring, and the portals used by members and credit union teams. Our products handle real financial data and high-stakes moments, so thoughtful engineering matters.
How we work
AI agents are part of our engineering workflow, not an experiment. They handle meaningful implementation work; engineers set direction, review the output, and own what ships. You will use our agents, improve them, and help build what comes next.
What you'll do
Own member- and credit-union-facing features from idea through production, planning pragmatic solutions for rising traffic and data volume.
Build across our TypeScript stack: React 19, React Router 7, Tailwind CSS, Hono, and Drizzle/Postgres, with AWS infrastructure managed through SST/Pulumi across Lambda, SQS, EventBridge, and S3. Experience with Terraform, AWS CDK, or similar infrastructure-as-code tools transfers well.
Turn product needs into simple, reliable experiences and integrations.
Monitor production, investigate issues, and improve what you ship.
Partner with design, customers, and stakeholders to make practical product decisions.
What you bring
5+ years building, scaling, and running production software.
Strong full-stack skills, with depth in modern front-end development and typed backend systems.
Experience building reliable products with React and relational data, including integrations with third-party and public APIs such as OpenAI or Anthropic Claude.
Current, hands-on experience using AI coding tools and reviewing their output.
Strong product judgment, clear written communication, and a bias toward simple solutions.
The autonomy to own outcomes and the judgment to bring others in when it matters.
We use Bun, Vitest, and Playwright for development and testing; exact tool overlap matters less than strong product engineering fundamentals.
If you want broad ownership, contact with users, and a chance to shape AI-native product engineering, we'd love to hear from you.
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