About GeneralMind
GeneralMind builds autonomous AI systems that operate enterprise workflows across emails, documents, ERP systems, and human decision loops. We’re building the operational layer between humans and the real economy: AI systems that don’t just assist, but actually execute work.
In less than a year, we’ve gone from 0 → dozens of enterprise customers, including DAX and NASDAQ-listed companies. We expect to grow aggressively over the next 12 months and are building a small, elite team in Berlin to help us get there.
Our team includes ex-unicorn founders, engineers who have operated systems at massive scale, and you’d work with colleagues from places like Stanford, Princeton, ETH, TUM, Coinbase, McKinsey, and Razor Group.
How We Work
We are highly execution-focused and operate with a high degree of ownership and intensity.
This is an onsite role in Berlin. We believe the kind of speed, collaboration, and product iteration we want is best achieved in person.
Engineering at GeneralMind is increasingly AI-native. We expect engineers to aggressively leverage AI tools and coding agents as part of their workflow: implementation, debugging, testing, migrations, research, and operations. The goal is not to replace engineering judgment, but to amplify it. You are still expected to own your code end to end.
This environment works well for people who:
- enjoy moving fast
- want significant ownership
- like hard technical problems and ambiguity
- care deeply about systems and product quality
- want to shape architecture and engineering culture early
The Role
We are looking for a (Lead) Backend Engineer who can help own and evolve the core backend architecture of the company.
You’ll work directly with the founders on systems that orchestrate real operational workflows across emails, documents, humans, databases, and ERP systems. The work sits at the intersection of backend engineering, workflow orchestration, AI infrastructure, and reliability engineering.
This is not a feature factory role, instead we want someone who can hold large parts of the system in their head, make strong architectural decisions, and raise the quality bar for the team.
What you will do
- Designing and evolving production-grade backend systems in Python
- Building durable workflow systems using tools like Temporal
- Improving reliability, observability, and operational tooling
- Designing AI-native backend infrastructure and async execution systems
- Integrating with enterprise systems such as ERP platforms and external APIs
- Scaling multi-tenant systems and platform abstractions
- Working closely with product and forward-deployed engineering teams on real customer problems
What we are looking for
- Strong backend engineering fundamentals and production experience
- Deep experience with Python and distributed/backend systems
- Strong ownership mentality and systems thinking
- Ability to design reliable, observable, maintainable systems
- Comfort operating in ambiguous, fast-moving startup environments
- Clear communication and engineering judgment
- Excitement about AI-native software development and agentic systems
We especially value people who have a genuine “spike” - an area where they are exceptionally strong and can significantly elevate the team.
That might be:
- workflow orchestration
- distributed systems
- databases
- AI infrastructure
- enterprise integrations
- developer tooling
Nice-to-Haves
- Temporal or similar workflow orchestration systems experience
- PostgreSQL performance tuning and schema design experience
- AI/ML infrastructure experience
- Worked with retrieval systems or vector databases
- ERP / SAP integration experience
- Supply chain or operations domain exposure
- Experience scaling multi-tenant systems
Why Join
We believe enterprise software is about to be rebuilt around autonomous systems.
The people joining GeneralMind now will have disproportionate impact on the architecture, engineering culture, and direction of the company. You’ll work on unusually hard technical problems alongside a small, highly capable team with very large ambition.
If you want to help build one of Europe’s most ambitious AI companies from Berlin, we’d love to talk.
