Senior Software Engineer (m/f/d) - AI & Product Engineering

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.