Helicone is the open-source observability platform for LLM applications. We provide developers with the monitoring, optimization, and reliability tools they need to build production-ready AI systems. From real-time insights and intelligent routing to comprehensive analytics, Helicone gives engineering teams complete visibility into their LLM stack.
We're deeply committed to open source and transparency. With 4k stars and a thriving community, we believe the best developer tools are built in the open. Our platform includes both our core observability suite and our lightweight Rust-based AI Gateway, providing everything teams need to scale their LLM applications reliably.
This is the right time to join us. 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, growing 20% MoM over the past year. Joining us now means you'll play a pivotal role in shaping the future of AI infrastructure.
Ship mentality: We build efficient, maintainable systems and take ownership from end to end, while prioritizing shipping and speed to get products out to market.
Growth Mindset: We solve complex challenges, learn from peers, and continuously improve.
Adaptability: As a fast-growing startup, we pivot and iterate quickly in dynamic environments.
- Competitive compensation with meaningful equity
- Comprehensive health benefits
- Career development opportunities in the rapidly growing AI infrastructure space
- Team building through hackathons and collaborative environment.
We're looking for someone who's as excited about this space as we are and wants to build something transformative together.
Skills: TypeScript, PostgreSQL, Node.js, React, Data Warehousing
Are you a skilled engineer looking to level up and make a substantial impact in AI observability? Helicone.ai is seeking a technically proficient, highly driven software engineer to join our team. We’re an agile startup developing a platform for LLM observability, helping developers gain insights, optimize performance, and streamline workflows in AI applications.
This role requires a mid-level software engineer who’s a problem-solver at heart and passionate about building scalable, resilient systems. You'll be working closely with our engineering team to shape the future of LLM observability.
Key Responsibilities:
- Design, build, and optimize microservices, ensuring they’re maintainable, scalable, and aligned with our architectural standards.
- Collaborate on developing new features in TypeScript, Node.js, and Python, optimizing for both performance and readability.
- Build and maintain integrations with LLM providers like OpenAI, Anthropic, and Vertex, enabling seamless data tracking and analytics.
- Work with Next.js to develop our frontend components, enhancing usability and performance for complex observability metrics.
- Contribute to data processing workflows using tools like Clickhouse, SQS, or similar distributed data systems.
- 3-5 years of experience in software engineering, with a deep understanding of backend services and a solid grasp of frontend fundamentals.
- Proficiency in TypeScript and Node.js, with experience building RESTful APIs.
- Strong foundation in distributed system design, with knowledge of data processing at scale.
- Familiarity with Next.js or similar React frameworks.
- Experience with observability tools and methodologies, such as monitoring, tracing, and logging.
- Working knowledge of Docker, Helm, or other container orchestration tools.
- You prioritize code quality and performance optimization in everything you build.
- Impact: Join a small, focused team where your contributions directly influence the product’s direction and success.
- Growth: You’ll work with and learn from highly skilled engineers and have opportunities for mentorship and technical ownership.
- Technology Stack: Our stack includes TypeScript, Node.js, Next.js, Clickhouse, Supabase, and Kubernetes, with integrations across leading LLM SDKs and frameworks.
- Competitive Benefits: We offer a compelling package, flexible work hours, and remote work options.