AI Engineer — Learn Engine: Platform & Simulation

Posted Yesterday
Be an Early Applicant
San Francisco, CA, USA
In-Office
Entry level
Artificial Intelligence • Big Data • Marketing Tech • Software
The Role
Build and own the Learn Engine platform and simulation layer, including campaign simulation, experimentation infrastructure, screen-capture and creative-intelligence pipelines, and client-facing data products. Develop tools that model campaign outcomes before spending, transform complex workflows into usable products, and create closed-loop optimization capabilities. The role emphasizes high-velocity AI-first development, platform ownership, simulation fidelity, and productized research rather than optimization policy design.
Summary Generated by Built In

Build the tools that do not exist yet — a campaign simulator, a creative intelligence engine, an experimentation platform. This is invention work, not integration work. Every tool you build becomes a product moat that competitors cannot easily replicate. You will work alongside the intelligence engineer to create a closed-loop optimization system that gets smarter with every dollar spent.

Must Have:
Has built platform/tooling systems that unlock new capabilities for users, not just internal plumbing.

  • Strong TypeScript or Python with fast production shipping ability.

  • Experience with browser automation, screen capture, simulation, or experimentation infrastructure.

  • Strong product instincts for turning messy data and workflows into usable tools.

  • AI-first development workflow with high implementation velocity.

Nice to have:
Simulation engine / Monte Carlo / probabilistic modeling experience

  • Computer vision or image analysis (for creative intelligence)

  • Ad-tech or growth engineering background

  • A/B testing or experimentation infrastructure experience

  • Experience with Mastra, Langchain, or LLM orchestration frameworks

Own the platform and simulation layer of Learn Engine.
Build the campaign simulator, experimentation infrastructure, screen-capture and creative-intelligence pipelines, and client-facing data products that let operators model outcomes before spending real money.
This role owns tooling, infrastructure, simulation fidelity, and productized research surfaces — not the optimization policy itself.

Skills Required

  • Experience building platform or tooling systems that unlock new capabilities for users
  • Strong TypeScript or Python skills with fast production shipping ability
  • Experience with browser automation, screen capture, simulation, or experimentation infrastructure
  • Strong product instincts for turning messy data and workflows into usable tools
  • AI-first development workflow with high implementation velocity
  • Simulation engine, Monte Carlo, or probabilistic modeling experience
  • Computer vision or image analysis experience
  • Ad-tech or growth engineering background
  • A/B testing or experimentation infrastructure experience
  • Experience with Mastra, LangChain, or LLM orchestration frameworks
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The Company
Year Founded: 2026

What We Do

Hellyeah AI is an AI-native growth engine that accelerates marketing teams with autonomous digital workers. The company focuses on building reliable, scalable big data systems and AI-driven products, leveraging agentic frameworks and prompt engineering to influence business operations and decision-making. They empower engineers to think like founders, fostering a culture of autonomy, creative problem-solving, and high standards for technology and product design.

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