Software Engineer

Summary

Join Metabase's Applied AI engineering team and contribute to building innovative features powered by LLMs/generative AI. We're a thriving company expanding our engineering teams and seeking exceptional software engineers to create user-friendly data tools. You'll ship product features leveraging LLMs/generative AI, working with Python, Clojure, and TypeScript. Strong product sensibilities and a focus on user experience are crucial. We offer a flexible, distributed work environment with opportunities for growth and development.

Requirements

• Be a strong generalist software engineer who likes shipping user facing features in a rapid and iterative manner
• Have a solid CS background (acquired through either a CS program or shipping software in a production setting)
• Care about crafting responsible, user-centered systems
• Have a collaborative, iterative working style where you build features that are both powerful and ethically sound, with particular attention to accuracy and fairness
• Have worked on large and complex projects
• Be comfortable adapting existing code and integrating new capabilities into established systems

Responsibilities

• Ship innovative features in the Metabase software including those powered by LLMs/generative AI technologies
• Build LLM-powered natural language data interaction capabilities that allow users to ask questions about their data in plain English and receive accurate, contextual responses
• Apply generative AI, ML, and data science techniques to enhance data understanding
• Develop systems that can explain complex queries in plain English, and provide context-aware suggestions for data exploration
• Work closely with product manager, product designer and other engineers in a collaborative, iterative, non-waterfall style of software development
• Own the quality of the code you write and the areas of infrastructure in your team's scope
• Write unit and integration tests that thoroughly and thoughtfully test the systems you build

Preferred Qualifications

Have experience building product features and systems that use LLMs/generative AI technologies

Benefits

• Flexibility (define your own schedule and work from wherever you want)
• Autonomy
• An environment that fosters growth, learning, and development