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.
