Senior Software Engineer
Core
Build production systems supporting advanced AI research, evaluation, and software engineering workflows, including infrastructure for dataset creation, validation, and agent execution.
Role type
Senior Software Engineer (AI Infrastructure & Data Systems)
Builds
Production backend services, data pipelines, internal interfaces, agent harnesses, sandboxed execution environments, and evaluation systems.
Domain
Artificial Intelligence / Machine Learning Infrastructure / Data Engineering
Deliverable
production ML models
Required skills
Python, PostgreSQL, TypeScript, React, Linux, Docker, Terraform, AWS/GCP, CI/CD, Git, Testing, LLM APIs, Agent Frameworks
Preferred skills
LangGraph, MCP, gVisor, Firecracker, Temporal, Airflow, Prefect, Dagster, Kubernetes, RLHF, RLVR
Responsibilities
Own production services end-to-end (design, implementation, deployment, monitoring); Build backend services and data pipelines for reproducible dataset generation; Develop data-intensive interfaces and annotation workflows; Build and operate agent harnesses for multi-step workflows; Design and maintain sandboxed environments for safe code execution; Build reinforcement learning environments and evaluation harnesses; Trace and debug agent workflows; Own Infrastructure-as-Code and CI/CD processes; Drive reliability improvements; Partner with researchers to define evaluation standards.
Seniority
Senior, hands-on IC