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Product Engineer AI Driven

AE Studio logo
AE Studio

AE Studio is a bootstrapped AI company that combines frontier AI alignment research with applied AI consulting and production software development. It serves enterprises, startups, private-equity portfolios, schools, airlines, healthcare organizations, and other organizations with high-stakes AI needs.

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About AE Studio

Founded in 2016, AE Studio operates as a bootstrapped product and technology studio with two connected divisions: frontier AI alignment research and applied AI services. Its applied work includes AI-native products, custom machine learning, agentic automation, knowledge graphs, AI platforms, evaluation, red-teaming, observability, and AI transformation. The company embeds senior technical and product teams with clients to build and operate production systems. Its published work covers airline revenue optimization, education technology, healthcare and neurotechnology, manufacturing automation, financial services, gaming, blockchain, and enterprise software. AE Studio states that it is self-funded, has no outside investors, and reinvests consulting profits into alignment research.

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Skills

About the Role

You will design, build, and ship end-to-end AI-powered applications from prototype through production. You will develop scalable APIs and services, create reliable AI pipelines, integrate AI features into full-stack products, and write production-grade, testable code. You will evaluate AI tools and models, improve prompting strategies and guardrails, and collaborate to deliver polished product experiences.

Requirements

  • 7+ years of professional software engineering experience
  • Proven track record of shipping production applications
  • Experience with LLM APIs, embeddings, vector databases, and orchestration frameworks
  • Strong knowledge of modern web stacks and cloud infrastructure
  • Knowledge of architecture, scalability, performance, and security
  • Knowledge of testing, code reviews, monitoring, and observability
  • Clear communication and self-management
  • Ability to learn new languages and frameworks and use AI development tools

Responsibilities

  • Design and ship end-to-end applications from prototype to production across frontend, backend, and cloud
  • Build scalable APIs and services and integrate AI models
  • Create reliable and maintainable AI pipelines for data ingestion, preprocessing, embeddings, retrieval, and orchestration
  • Engineer prompting strategies and guardrails for latency, cost, and accuracy
  • Integrate AI features into full-stack applications with APIs, frontend user experiences, and CI/CD pipelines
  • Collaborate with designers, product managers, and engineers to deliver polished product experiences
  • Evaluate new AI tools and models for performance, cost, and fit
  • Write production-grade, testable, maintainable code in TypeScript, JavaScript, and Python

Benefits

  • Equity in client projects and Skunkworks ventures
  • Retain 20% of equity after leaving on good terms while staying engaged
  • Retain 100% of equity when spinning out a Skunkworks venture