AI Product Engineer

Job not on LinkedIn

🕒 September 8

🇵🇭 Philippines – Remote

💵 ₱125k - ₱375k / month

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Casper Studios

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2022

🤖 Artificial Intelligence

🏢 Enterprise

📱 Media

Artificial Intelligence • Enterprise • Media

Casper Studios is an AI services firm that helps organizations design, build, and embed advanced AI into both external-facing products and internal operations. Their team of product managers, designers, and engineers runs discovery and execution pathways — including use-case validation, rapid prototyping, product & UX design, AI integration engineering, and internal enablement through workshops and automation — to turn AI ideas into production-ready systems. They serve enterprise clients across media & entertainment, financial services, and healthcare, and have built internal products such as Yap (a voice-first AI) and Casper AI (a Chrome extension for summarizing web content). Casper Studios also partners with AI platform providers (e. g. , building with Claude by Anthropic) to integrate modern LLM capabilities into customer workflows.

📋 Description

• Own AI product builds end to end, from concept through production, on client engagements • Decide what to build and how by gathering requirements, challenging stakeholder requests, and prioritizing high-impact work • Prototype quickly with LLMs and harden solutions for production with data pipelines, integrations, and evaluations • Perform enterprise data engineering, including ingestion, data modeling, and ETL • Serve as the primary technical contact for clients, collaborating with their engineers and explaining technical matters to executives • Instrument products with analytics, funnel metrics, and error analysis, then iterate based on real usage • Own reliability, security, and cost, including authentication, secrets, PII handling, and cloud-cost management • Document lessons learned for the team, clients, and public audiences

🎯 Requirements

• Strong engineering fundamentals in programming, debugging, and system design • Experience shipping a real LLM product with actual usage, ideally including error analysis and evaluations • Data engineering experience with data modeling, architecture, and ETL/pipeline tools such as Airflow, Dagster, Inngest, Prefect, or similar • Web and infrastructure fundamentals, including authentication, web security, query profiling, CI/CD, and cost-aware deployment on a major cloud • Daily use of modern AI tooling such as Claude Code with customized workflows • High agency and ability to frame ambiguous problems, state assumptions, and advance work independently • Strong writing skills and a high say:do ratio • TypeScript fluency is a nice-to-have • Depth in financial services, healthcare, or enterprise/contact-center AI is a nice-to-have • Senior-level client-facing experience is a nice-to-have • Experience building observability for an AI product is a nice-to-have • Applied-AI community involvement is a nice-to-have • Experience building and deploying a product from 0→1, achieving real usage, and iterating • T-shaped expertise, with depth in ML, full-stack, data, or security • Experience as a solo or founding engineer owning outcomes