Founding Engineer

As a Founding Engineer at Helicone.ai, you'll work side-by-side with the founders and a passionate team to build highly scalable systems and own end-to-end engineering projects that redefine the LLM developer experience. This is a unique opportunity to be part of a founding team, shape a product from the ground up, and make an outsized impact on the future of AI observability.

Why Join Helicone? This is more than just a role—it's an opportunity to build something transformative at the ground level. You'll be joining a tight-knit, ambitious team in San Francisco, the heart of AI innovation, and contributing to the leading platform for LLM observability.

• Ownership and Impact: Your work will directly shape the platform, the team, and the company's future.
• Dynamic Culture: Weekly team lunches, monthly hackathons, and an environment where every idea is heard.
• Growth Opportunity: Work on cutting-edge problems in AI, learn from the founders, and develop skills that push the boundaries of engineering.

Key Responsibilities:

• Build Features: Design and implement new software features that enhance Helicone's platform and developer experience.
• Develop and Maintain Backend Services: Frontend services (NextJS/Tailwind), Proxy worker (Wrangler/Cloudflare), Application database (Supabase), Analytics database (ClickHouse), Backend Services (Express/AWS ECS), Queue (Kafka)
• Own Projects End-to-End: Take responsibility for features and systems, from ideation to deployment and beyond.
• Deployment and Operations: Manage and streamline deployment processes to ensure smooth operations.
• Collaborate and Contribute: Work on feature requests, integrations, and documentation improvements to enhance usability.
• Engage with the Community: Actively gather feedback, foster contributions, and improve the developer experience based on real-world insights.

Preferred Skills:

• Proficiency in TypeScript: With 91% of Helicone's codebase in TypeScript, deep experience is essential.
• Experience with SQL or Similar: Strong database skills for working with ClickHouse, Supabase, and Postgres.
• Cloud Services Expertise: Familiarity with cloud deployment workflows; experience with Cloudflare is a plus.
• Problem-Solving and Communication: A clear thinker who can break down complex problems and communicate effectively.
• Adaptability: A fast learner who thrives in a dynamic environment with evolving challenges.
• AI Awareness: Solid understanding of LLMs and the current AI landscape.
• Helicone Familiarity: Must have tried the platform at least once—your hands-on experience will be invaluable.

Helicone 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
• LLMs: OpenAI, Anthropic, Gemini, TogetherAI, and more

Join us and make your mark on the rapidly evolving LLM space.