Founding Engineer

Weekday AI

San Francisco, California, United States Remote permanent

Posted: August 8, 2025

Job Description

This role is for one of the Weekday's clients

Salary range: $130k - $180k
Experience: 5+ YoE

Overview:

Join a passionate founding team and work closely with the leadership to design and deliver highly scalable systems that transform the LLM developer experience. This is a rare opportunity to shape a product from inception, influence its technical direction, and make a significant impact on the future of AI observability.

Requirements:
Key Responsibilities

• Feature Development: Design, develop, and implement new features to enhance the platform and improve developer experience.
• Backend & Frontend Services:
• Frontend: Next.js, Tailwind CSS
• Proxy worker: Wrangler/Cloudflare
• Application database: Supabase
• Analytics database: ClickHouse
• Backend services: Express/AWS ECS
• Queue systems: Kafka

•
• End-to-End Ownership: Manage projects from ideation to deployment and post-launch optimization.
• Deployment & Operations: Oversee deployment workflows and ensure smooth, reliable system operations.
• Collaboration: Work on feature requests, integrations, and documentation enhancements to improve usability.
• Community Engagement: Gather user feedback, encourage contributions, and iterate on the product based on real-world use cases.

Preferred Skills

• TypeScript Expertise: Strong experience in TypeScript (core to the majority of the codebase).
• Database Knowledge: Proficiency with SQL and similar technologies, with experience in ClickHouse, Supabase, and Postgres.
• Cloud Services: Familiarity with cloud deployment workflows; experience with Cloudflare is advantageous.
• Problem-Solving & Communication: Ability to simplify complex problems and communicate effectively with both technical and non-technical stakeholders.
• Adaptability: Quick learner who thrives in a dynamic, fast-paced startup environment.
• AI Knowledge: Solid understanding of LLMs and the AI ecosystem.
• Hands-On Product Familiarity: Prior use of the platform is preferred to bring valuable user insights into development.

Tech Stack

• Languages: TypeScript, Python
• Frameworks: Next.js, Tailwind CSS, Express, ShadCN
• Hosting: Kubernetes, AWS, GCP, Vercel, Supabase
• Services: Docker, Postgres, ClickHouse, Cloudflare Workers, Redis
• Developer Tools: Unix, CLI, Git
• LLM Integrations: OpenAI, Anthropic, Gemini, TogetherAI, and others

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