AI Acceleration Engineer

Job summary

Responsibilities

Decagon is growing fast, and we're looking for an AI Acceleration Engineer to build the systems the company runs on and make AI a practical part of how every team works.

• Own projects end to end, from requirements gathering and solution design through development, testing, deployment, and ongoing maintenance.
• Build and maintain the web applications and integrations internal teams run on, from existing systems such as our internal contract and revenue platform to new tools you design…
• Work with stakeholders across Finance, Accounting, Legal, People, and Recruiting to surface new use cases and areas to automate, and determine whether each calls for a custom…
• Take on major workstreams as they come up: billing, revenue recognition, usage data ingestion, and reconciliation across our internal data, the ERP, and Salesforce.
• Build the interfaces that let others work with our systems through AI, including MCP servers, skills, and agent-facing tooling, and enable power users across the business to…

What they're looking for

• You have 6+ years of hands-on experience building the internal tools, systems, and automations that business teams rely on — internal tooling, business systems, and/or revenue…
• You have owned projects across the full lifecycle, from requirements gathering through deployment and ongoing maintenance.
• You're technical enough to build production-quality internal tools, but you're not looking for a product engineering role — the work here is solving business problems, and that's…
• You're a strong generalist who could go deep on billing one quarter and rebuild a recruiting workflow the next.
• You have sound instincts for how systems should be built — how data flows, where things break, and what it takes for someone else to maintain your work.

Tech stack

• Python
• TypeScript
• GCP
• BigQuery