About the RoleWe'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- Build and maintain features across our core web platform, end-to-end from database to UI.
- Develop tools to visualize agent behavior, including heatmaps, flow maps, and persona-level insights.
- Collaborate closely with ML and infrastructure teams to integrate LLM-driven agents, model outputs, and user simulations into the product.
- Own internal tools and dashboards for analyzing agent performance, debugging simulations, and tracking cluster behavior.
- Help shape UX for features like task authoring, experiment comparisons, and adaptive UI recommendations.
- Ship weekly, iterate on feedback, and help define engineering best practices as the product scales.
What We're Looking ForMust-haves:- 3+ years of full-stack engineering experience delivering applications across backend services and frontend UI.
- Strong proficiency in Python.
- Experience building scalable distributed systems and orchestration logic.
- Hands-on experience working with LLMs, and familiarity with tooling such as Langfuse, LangChain, or similar frameworks.
- Strong CS fundamentals with the ability to own features end-to-end.
Nice to have:- Experience designing and implementing data visualization dashboards for product or analytics teams.
- Background in AI, behavioral modeling, or cognitive science concepts relevant to simulation engines.
Compensation & Benefits- Salary: $180,000 - $200,000 USD per year
- Competitive equity package
- Please note: visa sponsorship is not available for this role.
LocationThis 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.
