AI Engineer
Hellyeah AI
AI Engineer
Hellyeah AI
AI-driven growth engine for marketing teams
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.
AI-driven growth engine for marketing teams
Hellyeah AI helps marketing teams grow faster by using autonomous digital workers, which are AI agents that can perform marketing tasks without constant human direction. The core idea is an AI-native growth engine: teams set goals and the autonomous workers handle campaigns, experiments, content generation, optimization, and data analysis to push growth. The product works by integrating AI agents into marketing workflows to automate repetitive tasks, test ideas, and adjust strategies based on performance data. Differences from competitors come from being built around autonomy and a marketing-centric AI team of agents, rather than just AI tools or generic automation. The goal is to empower marketing teams to scale their efforts efficiently, achieve faster outcomes, and spend less time on manual, repetitive work.
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