AI Product Engineer
Boost your chances before you apply.
Casper Studios
US
Summary
You will own the end-to-end development of AI products, from initial concept and requirement gathering through to production deployment. Additionally, you will serve as the primary technical contact for clients, managing data pipelines, system reliability, and performance metrics.
Job Description
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
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Own AI product builds end to end, from concept through production, on a client engagement
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Decide what to build and how: gather requirements, pressure-test what stakeholders ask for, and prioritize the work that matters
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Prototype fast with LLMs, then harden into production with the data pipelines, integrations, and evals that make it trustworthy
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Do the data engineering enterprise work requires: ingestion, data modeling, and ETL
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Serve as the primary technical contact for clients - talk shop with their engineers and give their executives clarity
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Instrument what you build (analytics, funnel metrics, error analysis) and iterate on real usage, not assumptions
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Own reliability, security, and cost: auth, secrets, PII handling, and not blowing up the cloud bill
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Write up what you learn; for the team, for clients, and publicly
What You’ll Bring
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Strong engineering fundamentals: programming, debugging, and system design. You think well beyond the happy path
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You've shipped something real with an LLM that got actual usage - ideally with error analysis and evals on your outputs
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Data engineering: data modeling and architecture, plus ETL/pipeline experience (Airflow, Dagster, Inngest, Prefect, or similar)
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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
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You use modern AI tooling (e.g., Claude Code) daily, with customized workflows
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High agency: you frame ambiguous problems, state your assumptions, and push work forward without being managed
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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
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Depth in one of our core verticals: financial services, healthcare, or enterprise / contact-center AI
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Comfort being client-facing at a senior level
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Fluency in and preference for TypeScript - much of our stack is full TS
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You've built observability for an AI product
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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
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You've built and deployed something 0→1; shipped it, got real usage, and iterated
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You're T-shaped: deep in one area (ML, full-stack, data, or security) and rounding out the rest
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You've been the solo or founding engineer on a product and owned outcomes, not just tickets
Logistics
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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
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Compensation calibrated to your location and seniority - we'll talk comp and align on specifics early
Benefits
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🏥 Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy.
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🌴 Flexible PTO: Take the time you need to relax and rejuvenate.
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🚑 Health FSA/HSA: Manage out-of-pocket health expenses effectively.
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🏥 Life Insurance: Providing peace of mind for you and your loved ones.
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.
Founded
2022
Company size
51-200 employees
Industry
Technology, Information and Internet
Org type
Privately Held
Headquarters
San Francisco , California
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.
Founded
2022
Company size
51-200 employees
Industry
Technology, Information and Internet
Org type
Privately Held
Headquarters
San Francisco , California