AI Backend Engineer

Who we are

We are setting new standards in the corporate finance industry. With a focused team of 25 people, we combine deep domain expertise in finance, data science, software and UX to build a SaaS platform for M&A, private equity, auditors and banks.

We are among the fastest-growing start-ups in Europe and are now scaling internationally.

Our team combines backgrounds in investment banking, hedge funds, big tech and research – with a clear goal: to build the best possible product.

The role: AI Backend Engineer

We’re looking for a top-performing and highly ambitious engineer (m/f/d) with at least 1 year (better 2) of experience to help shape the future of fintech. Your responsibilities will include:

• Build and maintain MCP servers and connectors
• Develop agentic workflows and AI-powered automation pipelines
• Build backend services in Python and design robust APIs
• Work with diverse database technologies — Elasticsearch, Qdrant, PostgreSQL
• Build and maintain integrations with third-party platforms and internal services
• Design and ship end-to-end features used by thousands of financial professionals
• Contribute to critical software design and architecture decisions around scalability, reliability, and AI infrastructure
• Improve the performance, accessibility, and user experience of our products
• Collaborate directly with clients and internal teams to understand needs and turn them into features
• Maintain a clear overview of our systems, addressing technical debt while ensuring long-term scalability

Qualifications - to be successful in this role, you will need:

Must-haves

• You must be extremely motivated and thrive in a hyper-growth startup with massive ambitions – where relentless speed, bold ownership, and non-stop evolution define every single day
• At least 1 year (better 2) of professional software engineering experience, with proven experience designing & developing scalable and reliable software. Own serious scalable projects count as professional experience too.
• Proficiency in Python
• AI-native mindset — you stay on top of the fast-moving AI/LLM landscape and can assess and leverage relevant developments
• Experience building MCP servers or LLM tool integrations
• Familiarity with agentic orchestration frameworks (LangChain, LangGraph, CrewAI, or similar)
• Strong API design skills (REST, and ideally familiarity with protocol-level tooling)
• Hands-on experience with databases such as Elasticsearch, PostgreSQL, and vector databases
• Strong communication skills and clear, structured thinking
• Degree in Computer Science, Mathematics, Physics or equivalent practical experience

Nice-to-haves

• Fintech exposure
• Comfortable with TypeScript and a solid understanding of frontend concepts (React/Next.js)
• DevOps experience — Kubernetes, Docker, CI/CD pipelines, cloud infrastructure
• Founding-experience - entrepreneurial drive, resourcefulness, and comfort with ambiguity
• Experience with big data technologies (e.g. Apache Spark) & data orchestration tools (e.g. Dagster)

What we offer

• Rare chance to play a leading role in a well-funded and fast-growing fintech startup
• You will build agentic systems that automate workflows that currently take financial analysts days to complete manually.
• Trajectory: hyper-growth + hard problems = exceptionally steep learning.
• People: Build with experts from Big Tech, Silicon Valley, Investment Banking, and HedgeFunds.
• Impact: ship to thousands → millions with real impact.
• Ownership: High responsibility from day one, flat hierarchies with quick decisions
• Competitive compensation – consisting of base salary + bonus + VSOP (depending on experience)
• Hybrid setup with modern Munich office + company apartment for relocation support, EGYM membership and much more to support your best work and life.

Language

English is our company language; German is nice to have.

Hiring process

Intro chat → Technical deep dive → Team interviews → Offer. We value your time & move fast.

Equal Opportunity

We’re an equal-opportunity employer. We value diverse backgrounds and perspectives and welcome applications from all qualified candidates.

How to apply

Apply via LinkedIn with your CV, GitHub/portfolio, and a short note about a project you’re proud of