Founded in 2024 by Lukas Zörner and Anil Can Baykal, Integral set out to redefine how accounting, taxation and payroll works for SMEs in Europe, starting with Germany. The company is backed by General Catalyst, Cherry Ventures, Puzzle Ventures and entrepreneurs across Europe.
As Senior AI Engineer, you will build intelligent, reliable AI systems that help SMEs navigate financial and tax operations. Own outcomes, not just output, balancing speed and craftsmanship. This role follows a hybrid schedule in our Berlin office to collaborate effectively with the team.
What you'll do
Build and deploy AI agents that automate accounting, payroll, and tax workflows
Develop LLM-based systems using modern frameworks and prompt engineering with quality control
Integrate AI capabilities with existing systems and APIs
Optimize performance, cost, and reliability of AI features
What makes it special
High ownership: you'll shape what we build and how we build it
Tight feedback loops with domain experts and customers
Pragmatic pace: ship, learn, iterate, without sacrificing quality
Your Experience & Mindset
You have 5+ years experience in Software Engineering and AI
You've worked in early-stage startups or scale-ups where you had to wear multiple hats (coding, testing, UI, integrations)
Hands-on experience building with LLMs (OpenAI, Anthropic, or similar): APIs, prompt engineering, structured outputs, agent frameworks (LangChain, LangGraph, or similar)
You actively use AI coding tools like Cursor, Codex, or Claude in your daily workflow — and you can talk about how and why
Experience with RESTful APIs, cloud services, and testing/QA for AI systems
You're comfortable with ambiguity and high ownership: you'll manage multiple projects simultaneously and organize your own delivery
Preferred experience
You came from software engineering and have deliberately moved into AI
Strong Python skills: you can actually code, not just prompt
We like to move fast, and with the right candidate, the entire process can be completed in less than two weeks.
Intro Call with our Talent Team
Deep dive Interview with our CTO & co-founder
On-site Coding Interview at our Berlin office with the engineering team
Founder Conversation with our CEO & co-founder
Above-market salary
Direct line to the Founders: no filter, no queue, no committee
Total autonomy on what you build; we measure hours saved
The best tools, no questions asked: Claude Max, Cursor, OpenAI, whatever ships next week
Internal tools and resources purpose-built to support agentic AI development at scale, read about how we work at engineering.integral.de
28 vacation days per year, plus half-days on December 24 and 31
Either Urban Sports Club membership, coupons via Hrmony or Deutschlandticket, your choice
Laptop of your choice: MacBook Pro or Windows
Company pension scheme (bAV)
Modern office in the heart of Berlin Mitte, right next to Mauerpark
Weekly team lunches on us, office BBQs, and a dinner budget for late nights after 8pm
A team of 50+ (and growing!) ambitious, diverse people, 20%+ ex-founders learning and building together
The opportunity of a decade to build a category-defining AI-native services leader
We value diversity and hire people based on their abilities and capabilities to succeed in this role. We welcome people of every background, gender, gender identity, sexual orientation, religion, age, disability status, political belief or marital status.
Designs and implements generative AI solutions for customer environments, taking LLM, RAG, and agent-based systems from prototypes to scalable production integrations across cloud platforms and business processes.
Deliver production AI solutions for enterprise customers, owning the full lifecycle from discovery and agent design through integration, deployment, and adoption while translating technical complexity into business outcomes.
Build and scale production-grade AI agents that automate workflows across internal teams, integrating with company systems while establishing reliable evaluation, security, and adoption practices.
Design and implement production-ready AI agents, prompt-based solutions, and automated workflows for customer-service and payment processes, using Python and Azure Databricks while evaluating quality and reliability.
Build and deploy AI systems, including multi-agent workflows and LLM-powered applications, while integrating models into cloud services and developing prompt strategies for client projects.
