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As a Full Stack Engineer, you’ll own and ship core parts of our platform for deploying AI agents within enterprises. You’ll work across the stack from data pipelines, agent infrastructure to customer-facing features to help scientists, engineers, and manufacturers accelerate innovation. This role is for someone who thrives on ownership, moves fast, and cares about impact. Build and ship new agent capabilities end-to-end across our TypeScript + Python + Go stack Develop and optimize backend services that power large-scale LLM pipelines, agents, and real-time data interactions Work on performance-critical data infrastructure for ingesting, querying, and visualizing time series data Design and deploy tools to evaluate, fine-tune, and serve AI workflows and agents in production Contribute to core platform engineering from CI/CD, observability, resilience, and developer experience You have shipped meaningful products end-to-end, ideally across both backend and frontend You have a first-principles understanding of AI agents, LLM workflows, or distributed systems You take ownership. You care deeply about outcomes, not just tickets. You communicate clearly and enjoy working collaboratively