Senior AI Engineer Agentic AI & Computer Use

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. Youll 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 Youll 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

Youll 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 12 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 wed love to hear from you.