At Helicone.ai, we’re building the premier platform for LLM (Large Language Model) observability, empowering developers and data scientists with real-time insights and optimizations for their AI-powered applications. Our mission is to bridge the gap between complex AI systems and operational efficiency, providing tools that make it easier to track, analyze, and fine-tune LLM applications at scale.

Why Helicone?

• Open Source Community:
  We are deeply committed to user-centric development and transparency. Our open-source platform thrives on community-driven innovation, ensuring every contribution shapes the future of AI observability.

• Purpose-Built for LLM Developers:
  Designed by LLM developers for LLM developers, our tools streamline every aspect of building, deploying, and scaling LLM applications. From custom properties to caching, Helicone provides tailored solutions to enhance your workflows.

• Right Time, Right Space:
  The LLM ecosystem is rapidly evolving, and in 5 years, there will be unicorns and giants in this space. We’re on track to becoming one of them, and joining us now means you’ll play a pivotal role in shaping this journey.

Culture at Helicone

Our HQ is in the heart of San Francisco, the hub of AI innovation, and our culture reflects the dynamic, fast-paced energy of the industry.

• Collaborative and Fun:
  Every idea is heard and encouraged, fostering a creative and supportive work environment.

• Team Building:

  • Weekly Team Lunches: Connect over food and celebrate wins together every Thursday.
  • Monthly Hackathons: Collaborate on creative side projects and compete for mini prizes in a fun, hands-on environment.

• Flexibility and Autonomy:
  We trust our team to deliver and offer remote work options and flexible hours to balance productivity with personal time.

What We Value

• Technical Excellence:
  We thrive on building efficient, maintainable systems. Engineers here take ownership of their projects from end to end.

• Growth Mindset:
  Helicone is a place to solve complex challenges, learn from peers, and continuously improve your craft.

• Adaptability:
  As a fast-growing startup, we pivot and iterate quickly. We value team members who excel in dynamic environments.

Perks & Benefits

• Career Development: Opportunities for mentorship, technical ownership, and building a legacy in the LLM space.
• Competitive Compensation: Includes equity, allowing you to share in the company’s growth.
• Team Bonding: From hackathons to lunches, we foster an environment where collaboration and fun go hand in hand.

Interested in Building the Future of AI?

As a founding engineer at Helicone, you’ll work closely with the founders and team to build scalable systems, solve critical challenges, and own impactful engineering projects. Join us and make your mark on the rapidly evolving LLM space.

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.

If you’re looking for a challenging, impactful role where you can grow alongside a team that’s redefining observability for AI, we’d love to hear from you.

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 (Expres/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

Helicone Tech Stack and Challenges

At Helicone.ai, we combine a cutting-edge tech stack with a focus on solving complex problems in AI observability. Our platform is designed to give developers unparalleled insights into their applications' performance, costs, and behavior, all while being scalable, developer-friendly, and secure.

Tech Stack

• Languages: TypeScript and Python power our core platform, offering flexibility and reliability for both backend and data-intensive tasks.
• Frameworks: Next.js, React, Tailwind CSS, Express, and ShadCN form the foundation of our user-facing and backend systems, delivering seamless performance and intuitive interfaces.
• Hosting: We deploy across Kubernetes, AWS, GCP, Vercel, and Supabase, ensuring scalability and flexibility to meet diverse deployment needs.
• Services: Core components include Docker, Postgres, Clickhouse, Cloudflare Workers, and Redis, which together enable efficient data storage, processing, and caching for high-throughput systems.
• LLMs: Our platform supports a variety of large language models, including OpenAI, Anthropic, Gemini, TogetherAI, and more, ensuring compatibility and flexibility for developers.
• Developer Tools: We rely on Unix, CLI, and git to maintain a robust development workflow.

Challenges We’re Tackling

1. Real-Time Observability at Scale:
   Building a platform that processes millions of events in real time requires highly optimized data pipelines. With Clickhouse and Redis, we ensure low-latency data ingestion and querying to deliver actionable insights instantly.

2. Unified LLM Integrations:
   Supporting multiple LLM providers means creating unified abstractions that simplify diverse APIs. Developers can seamlessly integrate and switch between providers like OpenAI, Anthropic, and Gemini without additional overhead.

3. Prompt Management and Experimentation:
   We empower developers to track prompt versions, run experiments, and analyze metrics like cost, latency, and accuracy. This enables fine-tuned optimizations to improve performance and ROI for LLM applications.

4. Data Privacy and Security:
   With enterprise customers relying on our platform, we maintain SOC 2 and GDPR compliance while implementing features like rate limiting, access control, and secure caching to safeguard sensitive data.

By joining Helicone, you’ll dive into some of the most exciting challenges in AI observability, from real-time analytics to developer-centric tooling. Our dynamic team is shaping the future of AI performance monitoring, and we’d love for you to be part of it!