Helicone (YC W23) · 8 months ago
Software Engineer
San Francisco, CA, US
Full-time
Hybrid
Mid Level
$100K/yr - $150K/yr
3+ years expHelicone.ai is building a premier platform for LLM observability, empowering developers with real-time insights for AI applications. They are seeking a skilled software engineer to design and optimize microservices while collaborating closely with the engineering team to enhance their observability tools.
Artificial Intelligence (AI)Generative AIMachine LearningOpen Source
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 LangChain, 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, Kafka, or similar distributed data systems
Qualification
Required
1+ years of experience in software engineering
Proficiency in TypeScript and Node.js
Experience building RESTful APIs
Strong foundation in distributed system design
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
Prioritize code quality and performance optimization in everything you build
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.
Company
Helicone (YC W23)
The open-source LangSmith alternative for logging, monitoring, and debugging AI applications.
2-10 employees
Funding
Current Stage
Early StageTotal Funding
$1.5MKey Investors
Y Combinator
2023-04-05Pre Seed· $1.5M
Leadership Team
Justin Torre
Founder
Recent News
AI-powered information management: a catalyst for operational success in the energy industry | CIO
2025-03-05
2024-12-11
2023-04-12
Company data provided by crunchbase