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Founding Engineer at Weekday AI. 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.. 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. . Company Location: United States.