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.
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.
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
- 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.
