Software Engineer

Our core product is an AI agent that plans, executes, and iterates across complex scientific workflows - running optimization loops, querying literature and experimental data, and scheduling large-scale simulations. This system operates continuously and directly influences real-world outcomes., * Build and maintain agentic tools that retrieve data, call APIs, write and execute code, and orchestrate scientific workflows.

• Design and debug agentic workflows (single- and multi-agent), including planning, goal decomposition, and context management.
• Develop data pipelines that ingest, transform, and serve data to LLM-powered systems.
• Build production-quality asynchronous Python systems with strong typing, packaging, and testing discipline.
• Instrument systems with telemetry and observability so failures are diagnosable and recoverable.
• Work closely with ML engineers, scientists, and automation teams in a deeply technical, on-site environment.

• Experience building agentic systems or workflows in production (0*1 experience strongly valued).
• Strong Python experience, including async programming and modern AI tooling.
• Experience building tools or APIs that agents can reliably reason about and call.
• Comfort working on systems that operate under real constraints and failure modes.
• Motivation to apply AI to hard scientific and technical problems., * Experience building SDKs or developer tools.
• Exposure to scientific computing, simulation pipelines, or ML-in-the-loop systems.
• Experience with Docker, Kubernetes, or hybrid on-prem/cloud environments.