Posted 4 months ago
AI Product Engineer
@ Casper Studios
Remote in Canada
Overview
Casper Studios is hiring an AI Product Engineer for a full-time, fully remote role based in the US or Canada. The engineer builds AI products end to end on client engagements, from prototype with LLMs to production with data pipelines, evals and security. Compensation is calibrated to location and seniority and discussed early.
Responsibilities:
- Own AI product builds end to end on client engagements
- Prototype with LLMs and harden for production with pipelines and evals
- Do data ingestion, modeling and ETL work
- Serve as primary technical contact for clients
Requirements summary:
- Shipped LLM product with real usage and evals
- Strong engineering fundamentals in programming and systems
- Data engineering and pipeline experience (Airflow, Dagster, Inngest, Prefect)
- Web and cloud infrastructure, security and cost-aware deployment
Tools & skills
Benefits mentioned
Source and dates
Employer career site / ATS feed · ashby
- Employer posting date
- 2026-07-19
- First seen by our source
- 2026-10-11
- Source record updated
- 2026-10-11
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Department | Software development |
| Hours per week | 40 (estimated) |
| Travel | air: minimal · ground: none |
| Work setting | Home, Client sites |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Casper Studios
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Casper Studios is an AI Services firms helps businesses implement AI internally and for their customers.
Full company description
Casper Studios is an AI services firm that helps businesses implement AI across their operations and build external-facing AI products. The team embeds directly with companies to design, build, and ship AI systems — not just strategy decks, but working products that go live. The firm has worked across a wide range of industries and company sizes. In entertainment, Casper partnered with Netflix and Doritos on a campaign that handled over 400,000 calls. In financial services, clients include a $2B AUM hedge fund, a $1T+ asset manager, a $20B AUM RIA, TZP Group, a $90B alternative asset manager, and a $1B+ fintech. In healthcare, the team has worked with a $10B vision care company, Power to Decide, and a telehealth platform. Other clients span legal (an AI-first IP law firm), tech and SaaS (Kit, AlphaStory), enterprise (a $100B+ Japanese conglomerate, a $1B+ events and rewards company), and PE portfolio companies. The work ranges from AI-powered customer service transformation to building full AI products from scratch — voice agents, chat systems, internal copilots, and workflow automation. Casper doesn’t just advise; the team writes the code, ships the product, and stays embedded through launch and iteration. The team is led by Jay Singh (Founder & CEO, former LinkedIn — 5.5 years), Derek Gibbs (COO, Wharton MBA, former PwC Strategy&), and Kelly Zhang (Head of Product). The broader team brings experience from LinkedIn, Amazon, PwC Strategy&, Accenture, Bain, and Elliott Management — blending product, engineering, and strategy expertise to move fast with enterprise-grade quality. Casper partners with companies like Anthropic (Claude Chat, Cowork, Code), ElevenLabs, LiveKit, and others to help them implement their platforms into their businesses and products.
- LinkedIn followers
- 8,417
- People associated on LinkedIn
- 36
- Reported office locations
- San Francisco , California 94117, US
- Business categories
- Software
- UX Design
- Artificial Intelligence (AI)
- Other recorded names
- Casper Studios
- Profile identifies a recruitment agency
- No
- Reported total investment
- 0
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Casper Studios is an AI services firm that helps businesses implement AI across their operations and build external-facing AI products. The team embeds directly with companies to design, build, and ship AI systems — not just strategy decks, but working products that go live. The firm has worked across a wide range of industries and company sizes. In entertainment, Casper partnered with Netflix and Doritos on a…
| Field | Value |
|---|---|
| Industry | Technology, Information and Internet |
| Company size | 51-200 employees |
| Headquarters | San Francisco , California |
| Organization type | Privately Held |
| Year founded | 2022 |
| Open jobs on Jobsy | 4 |
| View page |
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
Benefits
🏥 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.
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