The AI Platform team builds the foundational systems that enable every engineer at Decagon to build with AI.
Our users are both engineers and coding agents. We build the execution environments, agent harnesses, evaluation systems, developer tools, and shared abstractions they use to plan, write, test, review, and ship production software.
We sit within Infrastructure and work closely with product, ML, data, and security teams. Our goal is to turn rapidly evolving agent capabilities into reliable, secure platforms that materially change how software gets built at Decagon.
We’re looking for an experienced software engineer to help build Decagon’s AI-native developer platform.
You’ll work at the intersection of distributed systems, developer tooling, and applied AI. You will experiment with new agentic workflows, identify where they create real leverage, and turn the best ideas into dependable systems used across the engineering organization.
This is a highly product-oriented platform role. You’ll work directly with engineers to understand how they build software, find high-value opportunities for automation, and own solutions from architecture and implementation through rollout, adoption, and production operation.
A few areas you may work on:
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Agent execution: Build harnesses, orchestration systems, and isolated environments where coding agents can safely execute long-running tasks.
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Tools and context: Give agents secure, observable access to codebases, tests, documentation, internal systems, and the tools needed to complete real engineering work.
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Agentic development workflows: Apply AI across planning, technical design, implementation, testing, code review, and production operations.
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Evaluation and validation: Build systems that test and review human- and agent-generated changes, catch regressions earlier, and improve confidence in autonomous development.
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Agent-native developer infrastructure: Design CI/CD, local development, APIs, CLIs, and platform tooling that can be operated directly by both engineers and agents.
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Internal builder platforms: Create reusable frameworks that let teams quickly build their own internal tools, dashboards, automations, and agents.