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  • Location: Hybrid (Munich-based team, 3 days/week in office); Workload: Full-time; Start: ASAP

    About us

    Hi, we are Jessy Works – an AI startup rethinking accounting from the ground up.

    While accounting firms are struggling to find qualified staff, we build the solution: AI-powered accounting on autopilot.

    Our AI assistants handle bookkeeping, routine workflows, and client communication – dramatically expanding the capacity of tax advisory firms.

    Now we are looking for a Senior Software Engineer who wants to take real ownership, ship production-ready AI systems, and help scale a mission-critical product.

    If you enjoy building stable systems, working close to product and founders, and using AI as a first-class development tool, keep reading.

    Tasks

    Build and own enterprise-grade AI systems that automate accounting and logistics operations at scale. You'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.

    Core Technologies You'll Work With

    AI & ML Frameworks

    • Structured LLM programming frameworks for reliable AI agent development
    • Multi-provider AI integration supporting major cloud AI services (OpenAI, Anthropic, etc.)
    • Vector databases for production search and retrieval-augmented generation
    • Distributed tracing and observability for ML operations monitoring

    Backend & API Development

    • Python 3.12 with modern async web frameworks for high-performance microservices
    • Type-safe data modeling and validation frameworks
    • Concurrent processing architectures for handling complex workflows
    • Enterprise AI integration patterns and best practices

    Cloud Infrastructure & DevOps

    • Kubernetes orchestration on major cloud platforms
    • Cloud-native services: object storage, NoSQL databases, serverless functions, email automation, OCR services
    • Container orchestration with security-focused multi-stage builds
    • CI/CD pipelines with automated testing and multi-environment deployment strategies

    Specialized AI Applications

    • Computer vision & automation for legacy system integration
    • Intelligent document processing with advanced OCR and semantic analysis
    • Knowledge retrieval systems for domain-specific expertise (tax, accounting, compliance)
    • Multi-modal AI workflows for email, document, and structured data processing

    Technical Responsibilities

    Production AI Systems

    • Design and implement structured AI agents for automated business process workflows
    • Build knowledge retrieval systems for real-time information access and compliance checking
    • Develop multi-modal AI pipelines processing diverse data types at enterprise scale
    • Optimize AI model performance using advanced prompt engineering and workflow optimization

    Full-Stack Development

    • Build high-performance API services with comprehensive async support and type safety
    • Implement vision-based automation for legacy application integration
    • Create real-time document processing pipelines with advanced text extraction and analysis
    • Design resilient distributed job processing systems

    Infrastructure & Operations

    • Deploy containerized applications on managed Kubernetes with multi-stage environments
    • Implement Infrastructure-as-Code using industry-standard tools
    • Build automated deployment pipelines with security scanning and validation
    • Monitor production systems with comprehensive observability and alerting

    Enterprise Integration

    • Integrate with European accounting software and compliance systems
    • Build automated email processing workflows with intelligent response generation
    • Implement enterprise-grade secret management and access controls
    • Design multi-tenant cloud architecture with proper security boundaries

    Production Impact

    You'll be building systems that:

    • Process thousands of business documents daily with enterprise-grade accuracy
    • Handle real-time communication workflows for logistics and accounting operations
    • Automate complex interactions with legacy business applications
    • Serve enterprise customers with strict compliance and security requirements
    • Scale automatically with intelligent resource optimization

    Required Experience

    • Advanced Python with modern async frameworks and type systems
    • Production ML/AI experience, preferably with LLM applications and vector search
    • Container orchestration and cloud-native deployment experience
    • Major cloud platform services and infrastructure management
    • High-performance web frameworks and API design

    Preferred Experience

    • Structured AI programming frameworks and prompt optimization
    • Computer vision and process automation technologies
    • European business software and compliance systems knowledge
    • Enterprise security and multi-tenant architecture
    • Financial/accounting domain expertise

    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.

    Requirements

    Essential Requirements

    • Senior-level experience as a Software Engineer with several years in production environments
    • Expert-level Python skills - this is our primary development language
    • Strong TypeScript/JavaScript proficiency for full-stack development
    • Solid AI/GenAI systems background including hands-on AI inference experience
    • AWS experience with serverless architectures and cloud-native development
    • Infrastructure expertise with Terraform and Kubernetes (K8s)
    • DevOps mindset - you build it, you run it philosophy

    Technical Experience

    • Experience building stable, scalable, and maintainable production systems
    • At least one complete product go-live where you were actively involved
    • Product launch experience and operating live systems under real user load
    • Strong understanding of backend, frontend, and application architecture
    • Windows OS session management knowledge for desktop automation workflows
    • Java experience is a strong plus for enterprise integrations

    Working Style & Collaboration

    • Proven experience in sprint planning, refinement, and agile execution
    • Highly self-driven, pragmatic, and solution-oriented approach
    • Ability to identify and resolve impediments independently
    • Experience with cross-functional collaboration and technical leadership

    Language Requirements

    • German language skills at minimum C1 level (spoken & written)
    • You will have direct customer contact and need to communicate technical concepts clearly
    • English proficiency for technical documentation and international team collaboration

    Preferred Qualifications

    • Experience with accounting/financial software systems
    • Knowledge of German business compliance requirements
    • Background in computer vision or UI automation
    • Previous work in regulated industries

    Benefits

    • Direct collaboration with the founding team and key decision-makers
    • Ownership and real impact on a core AI product
    • Very very interesting tech stack with many things freshly backed from research
    • Modern tech stack, AI-first development culture, and zero legacy baggage
    • A product with real customer value in a massive, underserved market
    • Hybrid setup with 1+2 office days per week in Munich
    • Competitive compensation and long-term growth opportunities
    • Fast learning curve, high trust, and minimal bureaucracy
    • And yes – we celebrate wins: pizza & champagne included 🍕🍾

    How to apply

    • Short CV + LinkedIn profile
    • 30-minute intro call – mutual fit & expectations
    • Final fit call – scope, role, and start date

    No cover letter.

    No corporate nonsense.

    Just honest engineering, real responsibility, and building something that matters.

    If you want to help shape the future of AI-powered accounting with a strong founding team – we’d love to hear from you.

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