Senior AI Engineer - Agentic AI & Computer Use

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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.

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.

Core Technologies You’ll Work With AI & ML Frameworks Structured LLM programming frameworks for reliable AI agent development Vector databases for production search and retrieval‑augmented generation Distributed tracing and observability for ML operations monitoring 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‑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 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.

Production Impact 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 Requirements Senior‑level experience as a Software Engineer with several years in production environments Expert‑level Python skills – this is our primary development language 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 – 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 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 Direct collaboration with the founding team and key decision‑makers Ownership and real impact on a core AI product 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 Benefits 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 We celebrate wins with pizza and champagne. #J-18808-Ljbffr First post free, listings 52% off .

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 feel fluent in transferring concepts with our AI researchers to production.

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.

Infrastructure & Operations – Deploy containerized applications on managed Kubernetes with multi‑stage environments, build automated deployment pipelines with security scanning and validation, monitor production systems with comprehensive observability and alerting, 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.