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Selected role

Senior AI Engineer - Agentic AI Computer Use

Jessyworks München, BY, DE

Senior Full-time

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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