About the Role
We're a well-funded MLOps and agentic AI platform company — backed by prominent investors and with a proven, Kubernetes-native infrastructure stack deployed at enterprise scale. We're looking for a Senior Full-Stack Engineer to help us scale our product from robust backend orchestration to intuitive, high-performance frontend interfaces.
You'll work across the entire stack to build, visualize, and iterate on predictive simulations that power decision-making for product teams. This is a central, high-impact role that sits at the intersection of ML infrastructure, data visualization, and product UX — and you'll have real ownership from day one.
What You'll Do
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Build and maintain features across our core web platform, end-to-end from database to UI.
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Develop tools to visualize agent behavior, including heatmaps, flow maps, and persona-level insights.
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Collaborate closely with ML and infrastructure teams to integrate LLM-driven agents, model outputs, and user simulations into the product.
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Own internal tools and dashboards for analyzing agent performance, debugging simulations, and tracking cluster behavior.
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Help shape UX for features like task authoring, experiment comparisons, and adaptive UI recommendations.
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Ship weekly, iterate on feedback, and help define engineering best practices as the product scales.
What We're Looking For
Must-haves:
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3+ years of full-stack engineering experience delivering applications across backend services and frontend UI.
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Strong proficiency in Python.
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Experience building scalable distributed systems and orchestration logic.
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Hands-on experience working with LLMs, and familiarity with tooling such as Langfuse, LangChain, or similar frameworks.
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Strong CS fundamentals with the ability to own features end-to-end.
Nice to have:
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Experience designing and implementing data visualization dashboards for product or analytics teams.
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Background in AI, behavioral modeling, or cognitive science concepts relevant to simulation engines.
Compensation & Benefits
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Salary: $180,000 – $200,000 USD per year
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Competitive equity package
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Please note: visa sponsorship is not available for this role.
Location
This is a hybrid role based in San Francisco, CA. You'll be expected to work from the office on a regular basis alongside a collaborative, fast-moving team.
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