We're looking for a Software Engineer (AI) who’s excited to work at the intersection of code and data. You’ll collaborate closely with our backend, product, and ML teams to ship smart, scalable features—including integrating Large Language Models (LLMs) into our systems. You should be comfortable writing production-level code, have a grasp of ML fundamentals, and be curious about applying models in real-world, user-facing scenarios.

Shape the current and future capabilities of our product by building core components, expanding the engineering team, and elevating our product. Enhance existing systems and build new ones, either independently or by leading other engineers. Create new APIs with proper documentation and implement robust security and data protection measures.

The AI Tech Lead will define and execute the technical strategy for a new AI-powered consumer product. This role involves architecting a scalable solution, integrating Large Language Models (LLMs), and setting up core infrastructure using Python, PostgreSQL, and AWS. As a key technical authority, the AI Tech Lead will work closely with product management to shape the roadmap.

Join Metabase as a Software Engineer on the Applied AI team, contributing to features that leverage LLMs/generative AI. You'll ship user-facing features, build LLM-powered natural language data interaction capabilities, and enhance data understanding using generative AI, ML, and data science techniques. Work collaboratively in a global, distributed team, focusing on user-centered systems and long-term value.

We are looking for a highly experienced Principal AI Engineer with strong expertise in AI/ML and scalable service architectures, along with experience and deep curiosity in Large LanguageModels (LLMs) and agentic systems. In this role, you will define the technical vision for integrating advanced AI-driven solutions into our loan and lease servicing platform. Your vision and technical leadership will position us at the forefront of the industry.

The Artificial Intelligence, Technical Referent in the AI & Automation team will be responsible for designing systems developed by multiple teams, ensuring technical excellence, and driving impactful solutions. This role involves collaboration across teams, technical leadership, and community contribution.

Lead the engineering team and drive the technical vision in generative AI. Lead technology strategy, set a high bar for innovation and technical rigor, and create an engineering culture that is ambitious, collaborative, accountable, and deeply customer-focused. Ensure that the technology is scalable, robust and sets new standards in the fields of AI, 3D and web.

You will enhance and maintain scalable LLM inference pipelines that transform communications into actionable deal assessments and insights. Responsibilities include improving and optimizing critical LLM inference pipelines, developing and implementing new AI features, enhancing monitoring systems, and scaling inference pipelines effectively. Collaboration with cross-functional teams is essential.