Darum lohnt es sich
They are a small team of 3-4 engineers going all-in on agentic workflows, guided by trust, respect, and ownership.
#J-18808-Ljbffr Agent runtimes and execution loops (plan, act, observe, reflect, retries, stop conditions) Agentic loops that convert outcomes into system-level improvements Tooling and skills (MCP integration, internal APIs, credentials, sandboxes)
What success looks like in 12 months:
A managed agent platform that product can rely on for customer-facing delivery Agent workflows with high repeatability and clear quality gates Engineers spending more time improving the factory and less time in review loops
Who this role is not for:
If you want to spend most of your time building features directly If you haven't shipped production software and lack taste to judge agent output If you prefer stable scope and minimal ambiguity Budgetly
Budgetly builds an AI-first platform that simplifies expense management for SMEs, improving cash flow visibility and spend control.
