Senior AI Platform Engineer — Distributed Systems

Decagon; San Francisco (CA); On-site; USD 200,000 - 400,000; Full time

Benefits offered by this job

Medical, Dental, Vision

Life Insurance

Retirement plan

Parental Leave

Wellness stipend

Office lunches

Job summary

Decagon seeks an experienced software engineer to build its AI-native developer platform. You’ll work at the intersection of distributed systems, developer tooling, and applied AI, turning experiments into dependable systems used across the engineering org.

This highly product-oriented role focuses on designing, implementing, and rolling out platform features, driving adoption, and ensuring secure, scalable production software for engineers and autonomous agents.

Qualifications

• Have 4+ years of experience building production software, particularly in backend, infrastructure, platform, or developer tooling.
• Are a strong programmer in Python, TypeScript, or another systems-oriented language.
• Have designed and operated APIs, services, or platforms that other engineers depend on.
• Understand distributed systems, cloud infrastructure, containers, and production reliability.
• Have taken technically complex projects from ambiguous problem statements to widely adopted production systems.
• Care deeply about developer experience and know how to turn complicated infrastructure into simple, useful abstractions.
• Move quickly while maintaining a high bar for correctness, security, and operational quality.
• Communicate clearly and enjoy working directly with the engineers who use what you build.

Responsibilities

• Design, build, and operate the core platform behind agent-driven software development at Decagon.
• Lead ambitious platform projects from an ambiguous problem through technical design, implementation, rollout, and long-term evolution.
• Turn successful experiments into secure, reusable abstractions that engineering teams can adopt without becoming experts in the underlying infrastructure.
• Partner closely with engineers across the company to understand bottlenecks, prototype solutions, and drive adoption.
• Improve the speed and quality of software development through better agent tooling, testing, review, and automation.
• Own the reliability, observability, security, performance, and cost of the systems you build.
• Help define how Decagon engineers—and increasingly autonomous agents—build and operate production software.

Skills

Production software

Python

TypeScript

APIs

Distributed systems

Kubernetes

Cloud infrastructure

Tools

CI/CD tools

Monorepos

Test automation

Job description

Decagon seeks an experienced software engineer to build its AI-native developer platform. You’ll work at the intersection of distributed systems, developer tooling, and applied AI, turning experiments into dependable systems used across the engineering org.

This highly product-oriented role focuses on designing, implementing, and rolling out platform features, driving adoption, and ensuring secure, scalable production software for engineers and autonomous agents.