Sr AI Engineer - Data
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 38d ago
The date the source published, not the day we noticed it (2026-08-07). Last seen at its source 2h ago.
Is it remote?
US Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $160.9k–210k/yr
Middle 50% of 740 listings that do state pay — Engineering · Senior · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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ashby employer's own board first seen 11d ago · last seen 2h ago
The listing
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.
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 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.
What you bring
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.