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Avenga is an international engineering firm helping businesses operate with AI at the core. With 6,000+ experts worldwide, we combine engineering expertise with AI-native thinking to turn ambitious ideas into real-world impact across industries, technologies, and markets. At the core of the role We are looking for an experienced AI / LLM Software Engineer / Enterprise Architect to help build AgentOS – a next-generation Enterprise Work Operating System. The platform replaces traditional ticket- and document-centric platforms (such as Jira and Confluence) with an enterprise registry, connected knowledge graph, and a multi-agent AI workforce. You will design and implement high-performance agentic workflows, knowledge graphs, and enterprise integration layers that allow human teams and AI agents to collaborate seamlessly over a shared enterprise source of truth. Core skills you’ll bring Strong background in software engineering (Python, TypeScript, Go, or Java) with hands-on experience in LLM integration and AI orchestration. Experience with AI agent frameworks (e.g., LangChain, LlamaIndex, AutoGen, CrewAI, LangGraph), tool/function calling, and advanced RAG architectures. Hands-on experience with graph databases / semantic knowledge graphs (e.g., Neo4j, Amazon Neptune) and vector databases (e.g., Pinecone, Qdrant, Weaviate). Proven experience building scalable enterprise APIs and integrations with platforms such as Jira, Confluence, Teams, and SharePoint. Solid understanding of cloud platforms (AWS, Azure, GCP), microservices, containerization (Docker, Kubernetes), and enterprise security standards (OAuth, SAML, RBAC). Czech or Slovak language at an excellent level is essential, with at least technical English proficiency. The impact you'll create Design, architect, and build autonomous multi-agent workflows and LLM orchestration layers for enterprise-scale deployment. Develop and optimize connected knowledge graphs and semantic retrieval systems to maintain a shared enterprise source of truth. Build and maintain secure, high-throughput integrations connecting AgentOS with data sources and tools like Jira, Confluence, Teams, and SharePoint. Ensure system reliability, scalability, security, and low-latency performance when moving AI agent solutions from concept to production. Collaborate closely with engineering teams and product leaders to shape the future of AI-native enterprise workflows.  What supports your journey X X X People are at the core of Avenga. We provide equal opportunities regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to a respectful environment where everyone can be themselves, share their ideas, and feel that they belong.