Sr AI Engineer - Product at MeridianLink

Confirmed open

Sr AI Engineer - Product opportunity with MeridianLink. See the official posting for responsibilities and application details.

MeridianLink

Search jobs by company: MeridianLink

Location: Remote
Advertised region: US Remote / United States
Employment: FullTime
Work arrangement: remote
Technologies: TypeScript, React, AWS

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Role overview

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.

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.

Responsibilities

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.
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.

Qualifications

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.

Technology in this role

TypeScript: 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 .
React: 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 .
AWS: 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 .
Terraform: Experience with Terraform, AWS CDK, or similar infrastructure-as-code tools transfers .
Playwright: We use Bun, Vitest, and Playwright for development and .

About MeridianLink

This is a deeply technical, hands-on engineering role and an integral part of the platform itself. You will write the code that traces agent actions across a multi-agent workflow, adopt and extend leading open-source explainability and observability frameworks, and build the primitives product teams use to surface explanations to lenders, credit unions, and their borrowers. You should have real hands-on experience with LLM-based systems and a strong pull toward the problems of trust, tracing, and evaluation. You do not need to be an expert in all of it. This is a place to build that expertise while the platform is being built, working alongside a Staff engineer team lead and architects who will invest in your growth.

What it means to be an L2 AI Engineer at MeridianLink

L2 AI Engineers handle a broad range of work independently, from bug fixes to feature development. They have developed a specialization and are deepening it. They write code that other engineers trust, ask good questions, and are starting to help the engineers around them. L2 AI Engineers at MeridianLink are active, daily users of AI-assisted development tools.

Completes assigned features and bug fixes independently, with limited need for day-to-day guidance

Designs components within a well-defined scope; escalates questions on complex system design rather than guessing

Participates in code review and provides constructive feedback

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