Full Stack Engineer

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🕒 February 5

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Comet

WebsiteLinkedInAll Job Openings

51 - 200 employees

Comet is a meta machine learning platform designed to help AI practitioners and teams build reliable machine learning models for real-world applications by streamlining and connecting the machine learning model lifecycle. By leveraging Comet, users can employ machine learning experiment tracking to track, compare, explain and reproduce their models. Backed by thousands of users and multiple Fortune 100 companies, Comet provides insights and data to build better, more accurate AI models while improving productivity, collaboration and visibility across teams.

📋 Description

• 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 • Nice to have: Open Source: Experience contributing to or maintaining open-source projects, AI/ML Experience: Understanding of Large Language Models, RAG systems, and AI application architectures.

🏖️ Benefits

• Competitive salary, based on proven experience, skills and location. • Competitive benefits package. • Flexible working hours and remote/Hybrid work options. • Opportunities for professional growth and development. • A collaborative and innovative work environment. • The chance to work with cutting-edge technologies and projects.