Agentic AI Infrastructure Engineer for Reproducible Research

Stanford Reglab; Palo Alto (CA); On-site; USD 118,000 - 165,000; Full time

Job summary

Stanford Law School’s liftlab is seeking a Research Engineer to design and implement software infrastructure for coordinating research agents and running large-scale experiments. The role blends software engineering with computational research, emphasizing reproducibility, modular design, and configurable workflows for evolving research questions.

Ideal candidates have strong Python skills, experience with scalable systems, and advanced degrees; collaboration with researchers and computing staff

Qualifications

• Strong programming skills in Python and scientific programming tools.

Responsibilities

• Translate research designs into technical specifications and milestones.

Skills

Python programming

Software design

Modular architecture

API integration

Data modeling

Research methods

Parallel/distributed processing

Version control

Documentation

Education

Master’s degree in computer science or related field

PhD in computer science or related field

Tools

Docker

Kubernetes

Linux

Git

CI/CD pipelines

Job description

Stanford Law School’s liftlab is seeking a Research Engineer to design and implement software infrastructure for coordinating research agents and running large-scale experiments. The role blends software engineering with computational research, emphasizing reproducibility, modular design, and configurable workflows for evolving research questions.

Ideal candidates have strong Python skills, experience with scalable systems, and advanced degrees; collaboration with researchers and computing staff