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What you'll build:

  • 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. They are a small team of 3-4 engineers going all-in on agentic workflows, guided by trust, respect, and ownership.

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