Senior Backend-Developer – Agents (100% Remote)

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

Hausverwalter.ai 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: Next.js, React, Tailwind, shadcn/ui

Technologies you will encounter: Vercel AI SDK, Convex Agent Component

Salary

$1000 - $3000 per month before taxes with room for growth and promotion in the months & years ahead

Permanent employment contract in your country of residence through our partner Deel (EOR)

Benefits

100% remote work

Allianz Gold Health Insurance with great coverage

Flexible hours

As many AI-tokens as you need

We’re self-funded & profitable (and not burning VC money to survive)

Small team, real ownership - what you build actually goes live

Quick decisions, no pointless meetings and no layers of approval to get through

Our values

Get things done, every day matters

Transparency and honesty, especially when it’s hard

Strive for greatness - Constantly challenge yourself and others

For a closer look at what we're building, check out our YouTube channel - heads up, it's in German.

You are

fluent in English.

a seasoned developer with more than 2 years of experience building production agents

AI-native in production. You've shipped agentic features real users rely on, and you have opinions on retrieval, evals, tool design, and where today's frontier models break down.

a builder first. You'd rather ship a rough v1 today than spend three weeks planning the perfect one.

up to date with new AI models & the research.

writing almost al of your code with AI.

comfortable working autonomously and take full ownership of your tasks.

performing even better when working under performance pressure.

quick to learn new things and consider yourself a generalist, not a specialist.