About the job
Why Join Moonshot AI?
Imagine a world where websites automatically optimize themselves to enhance sales, improve conversion rates, and accelerate growth. At Moonshot AI, we are transforming this vision into reality by integrating generative AI, extensive data processing pipelines, and systematic experimentation into a self-evolving digital ecosystem.
As a well-funded startup in its early stages, we have a bold vision. Joining us means becoming more than just an employee; you will play a crucial role in shaping our technical and cultural foundation. If you desire the freedom of a founder, combined with the support of top-tier investors, this is the opportunity for you.
Your Contributions
In your role as our Senior Fullstack Engineer, you will be actively engaged across the technology stack. You will design, develop, and scale systems that power our AI-driven platform, enjoying significant autonomy, rapid execution, and substantial ownership of your work.
Build and architect scalable systems — from backend APIs to frontend dashboards — capable of processing millions of web events daily.
Create large-scale data infrastructure that elucidates website construction, performance metrics, and optimization strategies.
Train and integrate LLMs into production environments to autonomously hypothesize, generate, and validate website variants.
Influence engineering culture and practices — your impact will be evident throughout our tech stack, architecture, and team processes.
Engage in experimentation, prototyping, and iteration — combining research, product development, AI, and scalability in a single role.
This is not about maintaining another SaaS application; it’s about constructing an AI engine that revolutionizes digital product creation.
Candidate Profile
A software artisan — you produce clean, scalable code and are adept at delivering results swiftly.
5+ years of full-stack development experience (Python, JavaScript, AWS preferred, but not mandatory).
Proven experience in leading teams or managing significant projects.
Educational background in Computer Science, Electrical Engineering, Mathematics, or equivalent practical expertise.
An AI enthusiast eager to work with LLMs and influence their real-world applications.
Bonus Qualifications:
Experience in a startup environment (thriving in dynamic, fast-paced settings).

