Powerprozesse
Senior Backend-Developer – Agents (100% Remote)
About this role
We're looking for Senior Developers to join our fully remote team to work on our agents. If you like complexity and want your work to actually matter, you'll fit right in. About Us is an all-in-one platform for property management companies with features like an Inbox, CRM, Documents, Telephony, Video Calls, Team Chat and AI-Agents. Our mission is to automate everything a property manager does. About the role Our platform has been an agentic platform since day one. Before we even planned the UI, we planned the way agents would interact with the software. Remember – our goal is to automate the entire industry and we mean it. As of now, almost everything the user can do in the UI, we have an agent tool for it and the Co-Pilot (daily assistant of the user) can do everything for them, even toggling dark mode on and off. But the Co-Pilot is just the beginning. The real challenge is the autonomous agents. More on that below. What you’ll be working on
- Inbox-Agents: Autonomous Agents triggered whenever something new happens inside a ticket. The customer can train them on their own OR rather use one of the templates you will build for them. These agents already have the capabilities to fully own entire complex scenarios and are one of the main reasons customers are interested in our software. But when should the agent escalate to a human rather than finishing on its own? How can we make sure it sticks to the process? Those are your questions.
- Harness Engineering: The agent has 100+ tools. But it has to read a request the way a property manager would, not the way the words sound elsewhere. What goes into the system prompt, what into skills?
- Knowledge base: Our platform includes its own knowledge base, similar to Notion. It’s fully custom built and supposed to act as the companys collective brain. But should the AI also “learn” by itself? And if yes, when? And how can we improve the way our AI searches the knowledge base — through better tools, system prompts, or skills?
- Voice-agents: The same agents, but on the phone — built on LiveKit, handling calls the way our text agents handle tickets.
- LLM Infrastructure. Pick the right model for the job, cache and stream to cut latency, retry when a provider fails, compact context, optimize RAG search, track usage across providers, reduce costs and run evals to see what's actually better. Our minimalistic tech stack Everything is TypeScript. From our database schema to the frontend. Backend: Convex (Database & serverless functions) Frontend: , React, Tailwind, shadcn/ui Technologies you will encounter: Vercel AI SDK, Convex Agent Component Salary - $2000 - $4000 per month before taxes with room for growth and promotion in the months & years ahead