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.
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.
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:
Flexibility and Autonomy:
We trust our team to deliver and offer remote work options and flexible hours to balance productivity with personal time.
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.
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:
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.
Frontend: TypeScript, Next.js, React, Tailwind, ShadCN Backend: Python, Express, Postgres, Clickhouse, Redis Infrastructure: Kubernetes, AWS, GCP, Vercel, Supabase, Cloudflare Workers LLM Support: OpenAI, Anthropic, Gemini, TogetherAI, and more
Real-Time Observability at Scale: Processing and querying millions of events through Clickhouse and Redis pipelines.
Unified LLM Integrations: Abstractions across OpenAI, Anthropic, and Gemini for easy provider switching.
Prompt Management and Experimentation: Version control and experimentation tools to track costs, latency, and accuracy.
Data Privacy and Security: With enterprise customers relying on our platform, we maintain SOC 2 and GDPR compliance with rate limiting, access control, and caching.
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!
fulltimeSan Francisco, CA, US$110K - $160K0.10% - 0.35%Any (new grads ok)
fulltimeSan Francisco, CA, USFull stack$130K - $180K0.50% - 2.00%Any (new grads ok)
fulltimeSan Francisco, CA, US / Remote (US)Backend$130K - $180K0.50% - 2.00%3+ years
fulltimeSan Francisco, CA, USFull stack$100K - $150K0.10% - 2.00%1+ years