Senior AI Engineer - Agentic AI & Computer Use

About the role

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 Ente