Technical Lead: Backend Systems for Autonomous AI Research

Autoscience; San Mateo (CA); On-site; USD 190,000 - 270,000; Full time

Benefits offered by this job

Competitive compensation packages

Unlimited PTO

Conference attendance and publication

Job summary

Autoscience Institute in the San Francisco Bay Area is seeking a Senior or Staff Software Engineer (Technical Lead) to guide the design and delivery of core backend and infrastructure powering autonomous research agents.

You will own end-to-end projects, write clear design docs, and mentor a small team while collaborating with researchers to productionize experiments and scale production systems.

Qualifications

• Led complex engineering projects from design to deployment.
• Experience as a technical lead or guiding small teams.
• Strong software design and architecture skills.
• Experience with Python and production backend infra.
• Experience in 24/7 production environments.

Responsibilities

• Lead the design and implementation of core backend and infrastructure systems
• Own projects from architecture and design through production deployment
• Write clear technical design documents and drive engineering decisions
• Build and maintain 24/7 production systems supporting autonomous research agents
• Partner closely with research teams to productionize experimental workflows
• Guide and collaborate with engineers on system design and implementation
• Improve system reliability, scalability, and observability
• Help shape the technical direction of the platform

Skills

Technical leadership

Python

System architecture

Production systems

Cloud infrastructure

Documentation

Research collaboration

Education

BS in CS/Math

Tools

GCP

Backend services

CI/CD pipelines

Job description

Autoscience Institute in the San Francisco Bay Area is seeking a Senior or Staff Software Engineer (Technical Lead) to guide the design and delivery of core backend and infrastructure powering autonomous research agents.

You will own end-to-end projects, write clear design docs, and mentor a small team while collaborating with researchers to productionize experiments and scale production systems.