AI Product Engineer
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 57d ago
The date the source published, not the day we noticed it (2026-07-19). Last seen at its source 3h ago.
Is it remote?
Remote - US, Remote - Canada
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, Canada
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $160k–225k/yr
Middle 50% of 2159 listings that do state pay — Engineering · all levels · 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 3h ago
The listing
About Casper Studios
We’re an AI services firm that helps companies figure out where and how to use AI. We’ve built Casper Studios to roughly 45 people, worked with 30+ clients, and done deals with some of the largest companies, PE funds, and model providers.
It all comes down to how we work with clients. Before we build anything, we listen, understand the business, and help them figure out the highest-leverage way to get started on their AI journey.
About the Role
We're looking for engineers who are AI-native, have real fundamentals in programming, data, and systems, and have the judgment to get the most out of LLMs - and know where they break. The work spans enterprise document processing, workflow automation, computer vision, and financial research tooling, across finance, healthcare, and enterprise clients.
This is a role for someone who ships, owns outcomes, and wants unusual amounts of responsibility early.
What You’ll Do
Own AI product builds end to end, from concept through production, on a client engagement
Decide what to build and how: gather requirements, pressure-test what stakeholders ask for, and prioritize the work that matters
Prototype fast with LLMs, then harden into production with the data pipelines, integrations, and evals that make it trustworthy
Do the data engineering enterprise work requires: ingestion, data modeling, and ETL
Serve as the primary technical contact for clients - talk shop with their engineers and give their executives clarity
Instrument what you build (analytics, funnel metrics, error analysis) and iterate on real usage, not assumptions
Own reliability, security, and cost: auth, secrets, PII handling, and not blowing up the cloud bill
Write up what you learn; for the team, for clients, and publicly
What You’ll Bring
Strong engineering fundamentals: programming, debugging, and system design. You think well beyond the happy path
You've shipped something real with an LLM that got actual usage - ideally with error analysis and evals on your outputs
Data engineering: data modeling and architecture, plus ETL/pipeline experience (Airflow, Dagster, Inngest, Prefect, or similar)
Web and infra fundamentals: auth and web security, profiling slow queries (N+1, unnecessary joins), CI/CD, and cost-aware deployment on a major cloud
You use modern AI tooling (e.g., Claude Code) daily, with customized workflows
High agency: you frame ambiguous problems, state your assumptions, and push work forward without being managed
Strong writing and a high say:do ratio - you can turn a long, meandering client call into a clean set of tickets
Nice To Haves
Depth in one of our core verticals: financial services, healthcare, or enterprise / contact-center AI
Comfort being client-facing at a senior level
Fluency in and preference for TypeScript - much of our stack is full TS
You've built observability for an AI product
You're plugged into the applied-AI community
Why This Role Is Hard To Fill
Most engineers land on one side of a line. Strong classical engineers often haven't built the judgment to know what LLMs can and can't do. Fast "vibe coders" can spin up a demo but can't debug it once it hits real data, real scale, or a real security requirement. We need both - plus the product sense and agency to run a client build largely alone. Someone who needs clean requirements and heavy supervision won't thrive here, and neither will someone whose work falls apart the moment it leaves the happy path.
You Might Be A Fit If
You've built and deployed something 0→1; shipped it, got real usage, and iterated
You're T-shaped: deep in one area (ML, full-stack, data, or security) and rounding out the rest
You've been the solo or founding engineer on a product and owned outcomes, not just tickets
Logistics
Fully remote, US/Canada based, with occasional client travel. We have team members across North America and internationally, mostly overlapping North American time zones. Work when and where you want, as long as the work gets done
Compensation calibrated to your location and seniority - we'll talk comp and align on specifics early
🏥 Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy.
🌴 Flexible PTO: Take the time you need to relax and rejuvenate.
🚑 Health FSA/HSA: Manage out-of-pocket health expenses effectively.
🏥 Life Insurance: Providing peace of mind for you and your loved ones.