Full Stack Engineer

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We are seeking a talented Full Stack Engineer to join our team and help build the Opik product! Opik is an open-source platform designed to streamline the entire lifecycle of LLM applications, helping developers evaluate, test, monitor, and optimize their models and agentic systems.

Ready to shape the future of LLM development? Join us in building the next generation of AI observability tools!

Responsibilities:

• Build & ship features at high pace in a fast-moving AI development environment
• Develop and maintain comprehensive observability tools for LLM applications and RAG systems
• Create intuitive user interfaces for LLM tracing, evaluation dashboards, and production monitoring
• Build robust APIs and backend services to support real-time LLM application monitoring
• Collaborate with AI researchers and ML engineers to implement cutting-edge evaluation methodologies
• Contribute to both frontend (React/TypeScript) and backend (Java) components
• Design and implement automated evaluation systems and "LLM as a Judge" capabilities
• Work on integrations with popular LLM frameworks and libraries
• Participate in open-source community engagement and technical documentation

Requirements:

• Experience: 3+ years of full-stack development experience, preferably in AI/ML domains
• AI Development Tools: Hands-on experience with AI-assisted coding environments, IDEs, and agent-based workflows (e.g., Cursor, Windsurf, GitHub Copilot, Codex, Claude Code, and similar platforms)
• Model Knowledge: Deep understanding of different AI model capabilities, limitations, and appropriate use cases (GPT-5, Claude, Gemini, etc.)
• Frontend Development: Expertise in React, TypeScript and modern web development practices
• Backend Development: Strong proficiency in Java with frameworks like Dropwizard
• Database & Infrastructure: Knowledge of scalable database design and containerization
• Observability Tools: Experience with tracing, monitoring, and evaluation systems
• Collaboration: Strong communication skills for working in a distributed, global team environment
• Problem Solving: Ability to work in ambiguous environments and solve complex technical challenges