Software Engineer, Data and AI Platform

What you'll do

• Ship agentic analytics features to thousands of users with a focus on high data accuracy.
• Build a data platform for authoring, dashboard runtime, scheduling, alerting, and content certification.
• Stream large result sets to the browser and render dozens of interdependent tiles.
• Develop AI-enabled services for agent-assisted query authoring and generated charts.
• Evolve the semantic layer for metric modeling, definition governance, and lineage.
• Own the query and adaptive caching path for planning, federation, and safe execution.
• Develop self-serve tooling for creating, evaluating, and improving AI assistants.
• Build and operate data discovery and metadata platforms to help users find datasets and metrics.

What we're looking for

• Hold a B.S., M.S., or PhD. in Computer Science or an equivalent degree.
• Have 3+ years of industry experience in software engineering.
• Possess strong backend fundamentals, specifically in Go and Python, with the ability to own a service in production.
• Have experience shipping LLM-powered features to real users, including hands-on work with retrieval, grounding, and evaluation systems.
• Have experience building data platform products such as semantic layers, data discovery, reporting applications, and caching systems.
• Possess familiarity with cloud-based environments like AWS and Kubernetes in production.
• Have experience with MCP, agent frameworks, or tool-calling architectures in production.
• Have experience with traditional and modern reporting, data governance, and multi-tenant data platforms.
• Possess experience with prompt and context optimization at scale, including caching and cost/latency tuning.
• Full stack experience is a plus (preferred).