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Senior AI Engineer - Agentic AI & Computer Use

Jessy Works

🇩🇪Munich, DEseniorhybrid

  • anthropic
  • aws
  • ci/cd
  • computer vision
  • docker
  • java
  • javascript
  • kubernetes
  • nosql
  • ocr
  • openai
  • python
  • terraform
  • typescript
  • vector databases

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.

Apply on linkedinVisit company →

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