Helicone.ai is looking to enhance the LLM developer experience by improving the performance, reliability, and usability of their platform, while also scaling their impact in AI observability.
Requirements
- Strong TypeScript Expertise: Deep experience working with TypeScript, which constitutes the majority of Helicone's codebase.
- Database Proficiency: Experience with SQL databases and tools like ClickHouse, Supabase, and Postgres.
- Cloud and Deployment: Familiarity with Kubernetes, Cloudflare Workers, Docker, and cloud platforms like AWS or GCP.
- Problem Solving at Scale: Experience designing systems to handle high-throughput, real-time data processing.
- AI and LLM Knowledge: Familiarity with LLMs, their APIs, and the current AI landscape.
- Languages: TypeScript, Python
- Services: Docker, Postgres, ClickHouse, Cloudflare Workers, Redis
Responsibilities
- Architect and Develop Solutions: Design and implement scalable systems that enhance the performance, reliability, and usability of Helicone’s platform.
- Lead Backend Development: Oversee core services, including: Frontend services (Node.js), Proxy worker (Wrangler/Cloudflare), Application database (Supabase), Analytics database (ClickHouse)
- Optimize data pipelines to handle large-scale, real-time observability workloads.
- Drive Technical Excellence: Advocate for best practices in code quality, testing, and architecture to ensure maintainable and efficient systems.
- Collaborate Across Teams: Work with product managers, designers, and community contributors to develop features, integrations, and documentation.
- Contribute to the Community: Engage with Helicone’s open-source community to gather feedback, improve the platform, and foster innovation.
Other
- Leadership and Mentorship: Proven ability to guide and mentor engineers, fostering growth and collaboration.
- Adaptability and Ownership: A proactive mindset with the ability to own and deliver on complex projects end-to-end.
- Technical Leadership: Your expertise will guide the team, influence architecture decisions, and ensure the platform's success.
- Collaboration and Impact: Work closely with founders, engineers, and the community to drive meaningful improvements.
- Dynamic Culture: Weekly team lunches, monthly hackathons, and an environment where innovation thrives.
