Sr AI Engineer - Product
Role Overview
This senior-level role involves owning member- and credit-union-facing features from ideation to production, using AI agents as part of the engineering workflow. You'll build across a TypeScript stack (React, Hono, Postgres) and AWS, while improving the AI tools and shaping the product. The impact is broad ownership, direct user contact, and influencing AI-native product engineering.
Perks & Benefits
Fully remote position with no specified time zone, offering flexibility. You'll work in a dynamic, AI-first environment where agents are integrated into daily workflows. The role provides opportunities for broad ownership, direct user interaction, and influencing the future of AI-native product engineering.
Full Job Description
Build financial products that help credit union members move forward.
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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