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

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

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

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

Jessyworks

Informationsdienste

München

  • Art der Beschäftigung: Vollzeit
  • 69.500 € – 94.500 € (von XING geschätzt)
  • Hybrid
  • Aktiv auf der Suche

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

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Über diesen Job

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.

Gehalts-Prognose

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