Data & Analytics Jobs in Munich, Germany (Now Hiring) — 37 open

<p><strong>Location:</strong> Hybrid (Munich-based team, 3 days/week in office); <strong>Workload:</strong> Full-time; <strong>Start:</strong> ASAP</p> <p><strong>About us</strong></p> <p>Hi, we are <strong>Jessy Works</strong> – an AI startup rethinking accounting from the ground up.</p> <p>While accounting firms are struggling to find qualified staff, we build the solution: <strong>AI-powered accounting on autopilot</strong>.</p> <p>Our AI assistants handle bookkeeping, routine workflows, and client communication – dramatically expanding the capacity of tax advisory firms.</p> <p>Now we are looking for a <strong>Senior Software Engineer</strong> who wants to take real ownership, ship production-ready AI systems, and help scale a mission-critical product. </p> <p>If you enjoy building stable systems, working close to product and founders, and using AI as a first-class development tool, keep reading.</p> <h2 id="tasks">Tasks</h2> <p>Build and own enterprise-grade AI systems that automate accounting and logistics operations at scale. You&#39;ll architect and deploy production AI agents using modern ML frameworks and Python infrastructure, running on cloud-native platforms with real-time document processing and automation capabilities. You feel fluent in transfering concepts with our AI researchers to production.</p> <p>Core Technologies You&#39;ll Work With</p> <p><strong>AI &amp; ML Frameworks</strong></p> <ul> <li><strong>Structured LLM programming</strong> frameworks for reliable AI agent development</li> <li><strong>Multi-provider AI integration</strong> supporting major cloud AI services (OpenAI, Anthropic, etc.)</li> <li><strong>Vector databases</strong> for production search and retrieval-augmented generation</li> <li><strong>Distributed tracing</strong> and observability for ML operations monitoring</li> </ul> <p><strong>Backend &amp; API Development</strong></p> <ul> <li><strong>Python 3.12</strong> with modern async web frameworks for high-performance microservices</li> <li><strong>Type-safe data modeling</strong> and validation frameworks</li> <li><strong>Concurrent processing</strong> architectures for handling complex workflows</li> <li><strong>Enterprise AI integration</strong> patterns and best practices</li> </ul> <p><strong>Cloud Infrastructure &amp; DevOps</strong></p> <ul> <li><strong>Kubernetes</strong> orchestration on major cloud platforms</li> <li><strong>Cloud-native services</strong>: object storage, NoSQL databases, serverless functions, email automation, OCR services</li> <li><strong>Container orchestration</strong> with security-focused multi-stage builds</li> <li><strong>CI/CD pipelines</strong> with automated testing and multi-environment deployment strategies</li> </ul> <p><strong>Specialized AI Applications</strong></p> <ul> <li><strong>Computer vision &amp; automation</strong> for legacy system integration</li> <li><strong>Intelligent document processing</strong> with advanced OCR and semantic analysis</li> <li><strong>Knowledge retrieval systems</strong> for domain-specific expertise (tax, accounting, compliance)</li> <li><strong>Multi-modal AI workflows</strong> for email, document, and structured data processing</li> </ul> <p>Technical Responsibilities</p> <p><strong>Production AI Systems</strong></p> <ul> <li>Design and implement structured AI agents for automated business process workflows</li> <li>Build knowledge retrieval systems for real-time information access and compliance checking</li> <li>Develop multi-modal AI pipelines processing diverse data types at enterprise scale</li> <li>Optimize AI model performance using advanced prompt engineering and workflow optimization</li> </ul> <p><strong>Full-Stack Development</strong></p> <ul> <li>Build high-performance API services with comprehensive async support and type safety</li> <li>Implement vision-based automation for legacy application integration</li> <li>Create real-time document processing pipelines with advanced text extraction and analysis</li> <li>Design resilient distributed job processing systems</li> </ul> <p><strong>Infrastructure &amp; Operations</strong></p> <ul> <li>Deploy containerized applications on managed Kubernetes with multi-stage environments</li> <li>Implement Infrastructure-as-Code using industry-standard tools</li> <li>Build automated deployment pipelines with security scanning and validation</li> <li>Monitor production systems with comprehensive observability and alerting</li> </ul> <p><strong>Enterprise Integration</strong></p> <ul> <li>Integrate with European accounting software and compliance systems</li> <li>Build automated email processing workflows with intelligent response generation</li> <li>Implement enterprise-grade secret management and access controls</li> <li>Design multi-tenant cloud architecture with proper security boundaries</li> </ul> <p>Production Impact</p> <p>You&#39;ll be building systems that:</p> <ul> <li>Process thousands of business documents daily with enterprise-grade accuracy</li> <li>Handle real-time communication workflows for logistics and accounting operations</li> <li>Automate complex interactions with legacy business applications</li> <li>Serve enterprise customers with strict compliance and security requirements</li> <li>Scale automatically with intelligent resource optimization</li> </ul> <p>Required Experience</p> <ul> <li><strong>Advanced Python</strong> with modern async frameworks and type systems</li> <li><strong>Production ML/AI</strong> experience, preferably with LLM applications and vector search</li> <li><strong>Container orchestration</strong> and cloud-native deployment experience</li> <li><strong>Major cloud platform</strong> services and infrastructure management</li> <li><strong>High-performance web frameworks</strong> and API design</li> </ul> <p>Preferred Experience</p> <ul> <li><strong>Structured AI programming</strong> frameworks and prompt optimization</li> <li><strong>Computer vision</strong> and process automation technologies</li> <li><strong>European business software</strong> and compliance systems knowledge</li> <li><strong>Enterprise security</strong> and multi-tenant architecture</li> <li><strong>Financial/accounting</strong> domain expertise</li> </ul> <p>This role offers the opportunity to work with cutting-edge AI technologies in a production environment where your code directly impacts business operations and drives customer success in a highly regulated industry.</p> <h2 id="requirements">Requirements</h2> <p><strong>Essential Requirements</strong></p> <ul> <li><strong>Senior-level experience</strong> as a Software Engineer with several years in production environments</li> <li><strong>Expert-level Python skills</strong> - this is our primary development language</li> <li><strong>Strong TypeScript/JavaScript proficiency</strong> for full-stack development</li> <li><strong>Solid AI/GenAI systems background</strong> including hands-on AI inference experience</li> <li><strong>AWS experience</strong> with serverless architectures and cloud-native development</li> <li><strong>Infrastructure expertise</strong> with Terraform and Kubernetes (K8s)</li> <li><strong>DevOps mindset</strong> - you build it, you run it philosophy</li> </ul> <p><strong>Technical Experience</strong></p> <ul> <li>Experience building <strong>stable, scalable, and maintainable production systems</strong></li> <li>At least <strong>one complete product go-live</strong> where you were actively involved</li> <li><strong>Product launch experience</strong> and operating live systems under real user load</li> <li>Strong understanding of <strong>backend, frontend, and application architecture</strong></li> <li><strong>Windows OS session management</strong> knowledge for desktop automation workflows</li> <li><strong>Java experience</strong> is a strong plus for enterprise integrations</li> </ul> <p><strong>Working Style &amp; Collaboration</strong></p> <ul> <li>Proven experience in <strong>sprint planning, refinement, and agile execution</strong></li> <li><strong>Highly self-driven, pragmatic, and solution-oriented</strong> approach</li> <li>Ability to identify and resolve impediments independently</li> <li>Experience with cross-functional collaboration and technical leadership</li> </ul> <p><strong>Language Requirements</strong></p> <ul> <li><strong>German language skills at minimum C1 level</strong> (spoken &amp; written)</li> <li>You will have direct customer contact and need to communicate technical concepts clearly</li> <li>English proficiency for technical documentation and international team collaboration</li> </ul> <p><strong>Preferred Qualifications</strong></p> <ul> <li>Experience with accounting/financial software systems</li> <li>Knowledge of German business compliance requirements</li> <li>Background in computer vision or UI automation</li> <li>Previous work in regulated industries</li> </ul> <h2 id="benefits">Benefits</h2> <ul> <li>Direct collaboration with the <strong>founding team</strong> and key decision-makers</li> <li>Ownership and real impact on a <strong>core AI product</strong></li> <li><strong>Very very interesting tech stack with many things freshly backed from research</strong></li> <li>Modern tech stack, AI-first development culture, and zero legacy baggage</li> <li>A product with <strong>real customer value</strong> in a massive, underserved market</li> <li>Hybrid setup with <strong>1+2 office days per week in Munich</strong></li> <li>Competitive compensation and long-term growth opportunities</li> <li>Fast learning curve, high trust, and minimal bureaucracy</li> <li>And yes – we celebrate wins: <strong>pizza &amp; champagne included</strong> 🍕🍾</li> </ul> <p>How to apply</p> <ul> <li>Short CV + LinkedIn profile</li> <li><strong>30-minute intro call</strong> – mutual fit &amp; expectations</li> <li><strong>Final fit call</strong> – scope, role, and start date</li> </ul> <p>No cover letter.</p> <p>No corporate nonsense.</p> <p>Just honest engineering, real responsibility, and building something that matters.</p> <p>If you want to help shape the future of AI-powered accounting with a strong founding team – <strong>we’d love to hear from you.</strong></p>