Engineering Department (all applications) - m/w/d

Build AI infrastructure that powers how Europe’s largest companies work

Build something that matters.

Every day, thousands of knowledge workers across 5,000+ companies open Langdock to think, research, and automate with AI. You will build the systems that make those moments seamless.

What You Will Actually Do

Ship features across our AI engine that orchestrates the newest model releases from all relevant AI labs through a unified abstraction layer. This includes prompt caching, automatic failover across deployments, and middleware that transparently repairs provider specific quirks.

Build resumable streaming infrastructure where users can disconnect mid response and pick up exactly where they left off. Design retry logic that continues generation from the exact stopping point when providers fail mid stream.

Build and extend our workflow automation system where agents can pause for human input, extract structured outputs from free form conversations, and chain together actions across hundreds of integrations. Implement distributed loop orchestration with Redis coordinated concurrent execution and race condition prevention.

Work on cutting edge infrastructure including Model Context Protocol, agent to agent communication, and retrieval augmented generation pipelines with multiple vector stores.

Solve problems like context window management while preserving tool call integrity, intelligent message reduction strategies, and token refresh callbacks that happen transparently during long running executions.

Own how AI systems manifest in the product end to end. Sweat the details of every button, loading state, and micro interaction. Care about rendering performance, perceived latency, information density, and how streaming tokens reshape layout in real time so complex distributed systems feel calm, precise, and intentional.

Design and maintain the infrastructure that runs Langdock across dozens of environments on Azure, AWS, GCP, and bare metal servers. You will build the systems that keep these deployments secure, up to date, and reliable across tenants.

Own domains end to end. We ship daily.

What Makes This Role Different

You will work on a production grade AI platform with enterprise features like multi tenant observability, connection pooling for external services, sandboxed code execution with secret redaction, queue based scaling, and middleware that normalizes provider specific API differences.

Enterprise customers expect strict data boundaries, regional deployments, and seamless upgrades. Designing systems that operate reliably across this landscape is a real distributed systems challenge.

The codebase demonstrates patterns that will become industry standard. We grew from €1M to €15M+ ARR in one year because the technology works. You will help scale it further.

You Might Be a Fit If

You have built something technically exceptional and can explain what worked, what did not, and what you learned along the way.

You do not just use AI tools daily. You actively nerd about your setup. You experiment with different models, prompts, workflows, and automations. You have strong opinions about what works and why.

You care about the craft. Good abstractions, clear code, thoughtful architecture. You know when to ship fast and when to build foundations.

You are comfortable across the stack. TypeScript, React, Node, databases, queues.

You are a kind person who cares about the people around you.

The Environment

We work from our office in Berlin, Greifswalder Strasse 212. Everyone is here, because Everyone works together in person because the hardest problems get solved faster at a whiteboard than in a Slack thread. Conversations happen faster, problems get solved quicker, and we actually know each other.

Days start at 8:30. Lunch and dinner are together. We run, go to the gym, and take care of ourselves. Health is not separate from work here, it is part of how we work well.

The vibe is calm but intense. No one is yelling or panicking. But everyone is working hard on things that matter.

Compensation

We will figure out the right level together based on your experience and scope. Levels are about the work you own, not your title or years of experience. We narrow down the expected salary range early in the process.

We move fast. Most processes complete within two weeks.