Sr AI Engineer - Data at MeridianLink

Confirmed open

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

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.

Build the data foundation behind financial products used by credit unions and their members.

Meridianlink Coach builds tools that help credit unions support members at important moments in their financial lives. We turn complex credit information into clear, useful next steps. Because our products handle sensitive financial data, we move quickly without compromising safety or trust.

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 data-heavy features from design through production, planning pragmatic solutions for rising traffic and data volume.
Improve data models, pipelines, migrations, and multi-tenant systems.
Work in our TypeScript monorepo with Hono, Drizzle/Postgres, and AWS infrastructure managed with SST/Pulumi across Lambda, SQS, EventBridge, and S3. Experience with Terraform, AWS CDK, or similar tools transfers well. You may also touch React 19 and React Router 7 when work crosses into the product.
Monitor production, investigate issues, and fix root causes.
Help the team make clear, practical technical decisions.
5+ years building, scaling, and running production software.
Strong backend engineering skills in a typed language, including experience integrating third-party and public APIs such as OpenAI or Anthropic Claude.
Experience with relational data modeling, migrations, and production data systems.
Sound judgment when working with sensitive data and high-impact changes.
Current, hands-on experience using AI coding tools and reviewing their output.
Clear written communication, product sense, and comfort owning work end to end.
Experience with TypeScript, Postgres, serverless AWS, or event-driven systems is useful; exact framework overlap is not required.
If you enjoy turning complex data problems into simple, dependable systems - and want to help define AI-native engineering - we'd love to hear from you.

Qualifications

5+ years building, scaling, and running production software.
Strong backend engineering skills in a typed language, including experience integrating third-party and public APIs such as OpenAI or Anthropic Claude.
Experience with relational data modeling, migrations, and production data systems.
Sound judgment when working with sensitive data and high-impact changes.
Current, hands-on experience using AI coding tools and reviewing their output.
Clear written communication, product sense, and comfort owning work end to end.
Experience with TypeScript, Postgres, serverless AWS, or event-driven systems is useful; exact framework overlap is not required.
If you enjoy turning complex data problems into simple, dependable systems - and want to help define AI-native engineering - we'd love to hear from you.

Technology in this role

TypeScript: Work in our TypeScript monorepo with Hono, Drizzle/Postgres, and AWS infrastructure managed with SST/Pulumi across Lambda, SQS, EventBridge, and .
React: You may also touch React 19 and React Router 7 when work crosses into the .
AWS: Work in our TypeScript monorepo with Hono, Drizzle/Postgres, and AWS infrastructure managed with SST/Pulumi across Lambda, SQS, EventBridge, and .
Terraform: Experience with Terraform, AWS CDK, or similar tools transfers .

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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