AI Platform Engineer - Scalable, Secure Dev Tools | Equity

ARCHER; San Francisco (CA); On-site; USD 190,000 - 230,000; Full time

Benefits offered by this job

Flexible PTO

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Benefits

Retirement Plan

Parental Leave

Fertility And Family-Building Benefits

Lunch

Snacks And Coffee

Discretionary Benefit Stipend

Equity Plans

Free Alphorn Lessons

Job summary

ARCHER is building the platform primitives, runtime systems, developer tools, and infrastructure used to build, orchestrate, and deploy AI agents. We aim to create reliable and steerable agent-development foundations and workflows that help engineers build and deploy agents faster.

Candidates should have at least four years of hands-on experience building production systems and a degree in computer science or a related field, or equivalent professional experience.

Qualifications

• At least four years of hands-on experience building production systems.
• Degree in computer science or related field, or equivalent professional experience.
• Experience with developer platforms or SDKs, distributed systems, AI products, or technical project leadership is advantageous.

Responsibilities

• Build platform primitives, runtime systems, developer tools and infrastructure to deploy AI agents.
• Create reliable and steerable agent-development foundations and workflows to help engineers build and deploy agents faster.

Skills

Platform Engineering

AI Product Development

Production Systems

Reliable Systems

Maintainable Systems

Secure Systems

Scalable Systems

Runtime Systems

Developer Tooling

Internal Infrastructure

Agent Orchestration

Distributed Systems

Developer Platforms

SDK Development

Technical Project Leadership

Education

CS degree or equivalent

Job description

ARCHER is building the platform primitives, runtime systems, developer tools, and infrastructure used to build, orchestrate, and deploy AI agents. We aim to create reliable and steerable agent-development foundations and workflows that help engineers build and deploy agents faster.

Candidates should have at least four years of hands-on experience building production systems and a degree in computer science or a related field, or equivalent professional experience.