Postuler

Publié il y a 4 mois

AI Product Engineer

@ Casper Studios

Télétravail au Canada

TélétravailTemps plein
Postuler
SIGNAUX

En bref

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.

Responsabilités :

  • 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

Résumé des exigences :

  • 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

Outils et compétences

Avantages mentionnés

Assurance maladieSoins dentairesSoins de la vueAssurance vieCongés payésCompte santé
Source et dates

Site carrière / système de candidatures · ashby

Date publiée par l’employeur
2026-07-19
Première détection par notre source
2026-10-11
Mise à jour du dossier source
2026-10-11

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauIntermédiaire
DomaineDéveloppement logiciel
Heures par semaine40 (estimé)
Déplacementsavion : minimes · route : aucun
Milieu de travailDomicile, Chez les clients
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Casper Studios

Profil d’entreprise sauvegardé

Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.

Casper Studios is an AI Services firms helps businesses implement AI internally and for their customers.

Description complète de l’entreprise

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.

Abonnés LinkedIn
8 417
Personnes associées sur LinkedIn
36
Bureaux déclarés
  • San Francisco , California 94117, US
Catégories d’activité
  • Software
  • UX Design
  • Artificial Intelligence (AI)
Autres noms enregistrés
  • Casper Studios
Le profil indique une agence de recrutement
Non
Investissement total déclaré
0

La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.

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…

ChampValeur
SecteurTechnology, Information and Internet
Taille51-200 employees
Siège socialSan Francisco , California
Type d’organisationPrivately Held
Fondée en2022
Offres sur Jobsy4
LinkedInVoir la page
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

  • 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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