Skills
Software product development
AI evaluation platforms
LLM-powered agent development
Machine learning evaluation
Software engineering
Developer community engagement
Technical communication
Product feature delivery
User feedback collection
Artificial Intelligence
Large Language Models
AI agents
MLOps
Open-source software
Summary
✨ AI‑Generated
A technology company developing tools for AI agent builders is seeking a Product Engineer with at least three years of experience. You will build and deliver product features, engage directly with the developer community, share technical insights and demonstrations, and incorporate user feedback into product improvements. The role combines hands-on software development with product thinking and community-driven innovation in AI evaluation and machine learning operations.
Highlights
Build practical features for AI engineering tools while working closely with developers and the broader technical community. Help shape product direction through demonstrations, technical content, and user feedback, with opportunities to contribute to open-source and emerging AI evaluation workflows.
Description
roduct Engineer – Kitaru (ZenML)Company: ZenML
Product: Kitaru – AI Evaluation Platform
Experience: 3+ Years
Job Type: Full-time
Department: Engineering
About ZenMLZenML is an open-source MLOps platform that simplifies machine learning experimentation, evaluation, and deployment for AI teams.
Through Kitaru, its flagship AI evaluation platform, ZenML helps AI agent builders and ML engineers systematically test, benchmark, and improve LLM-powered agents and evaluation frameworks.
Built by and for the AI engineering community, ZenML combines reliable infrastructure with community-driven product development.
About the RoleWe’re looking for a Product Engineer to join Kitaru, ZenML’s AI evaluation platform.
In this role, you’ll build and ship product features for AI agent developers while engaging directly with the AI engineering community.
You’ll help shape the product by building in public, sharing technical content and demos, and gathering feedback from developers through platforms like X and GitHub.
This is a hands-on role for an engineer who enjoys building products end-to-end, communicating with customers, and working at the intersection of engineering, AI, and community engagement.
Key ResponsibilitiesBuild and Ship Features: Design, develop, and deploy product features for AI agent builders, incorporating feedback to continuously improve the product.Engage the AI Community: Create technical content, demos, and posts on X and GitHub to share progress and gather community feedback.Drive Product Decisions: Translate insights from developers and users into actionable product improvements.Collaborate Cross-Functionally: Work with product, design, and marketing teams to deliver valuable features efficiently.Lead Customer Demos: Present product capabilities to prospects and customers, gather feedback, and improve the user experience.Improve Platform Reliability: Maintain and optimize the codebase, enhance performance, and document technical decisions for the community.Qualifications3+ years of experience in full-stack or backend engineering, with a proven track record of delivering features end-to-end.Strong understanding of AI/ML tooling, AI agent frameworks, or evaluation platforms, or the ability to learn these technologies quickly.Experience engaging with technical communities or building in public through technical blogs, GitHub, or social platforms.Excellent communication skills, with the ability to translate technical concepts into customer and product insights.Comfortable working across engineering, customer engagement, and marketing in a fast-paced startup environment.Familiarity with Python and modern web frameworks used in AI engineering tools.Required SkillsPythonFull-Stack Web DevelopmentAPI Design and REST/GraphQLDatabase Design and OptimizationTechnical Communication and DocumentationAI Agent Frameworks (LangChain, AutoGen, or similar)Prompt Engineering and LLM EvaluationTechnical Content Creation and Community Engagement on XEnd-to-End Product Development
