engineering
Added 2 weeks agoAgentic AI Solutions Engineer
at SUSE
CzechiaOn-site
Responsibilities
- Building Everyday Agentic Solutions Design Practical Assistants: Architect and build agents that directly assist business users in their daily tasks, such as automating complex data retrieval, summarizing cross-departmental reports, or triaging internal requests.
- Human-in-the-Loop (HITL) & Frontend Dashboard Development: Build lightweight, secure frontend dashboards where business managers can review, approve, or reject high-risk actions proposed by autonomous agents.
Requirements
- Agentic AI Solutions Engineer Job Description
- About the Role SUSE is building a highly secure, sovereign Agentic AI platform to automate enterprise workflows and pioneer the "Agent Factory" model.
- You will own the application layer of our "Agent Factory," specifically focused on building the agentic solutions and workflows that employees need to excel in their everyday jobs.
- You understand that AI is a systems engineering challenge, not just a prompt engineering task.
- Utility Agent Creation: Develop core "Utility Agents" — and, over time, creating a library of digital skills that business units can draw upon.
- Custom Tooling & Backend Engineering Microservices Mastery: Write highly performant microservices and custom orchestrator plugins using modern backend languages (Python, TypeScript, Go) to handle complex enterprise data.
- Deployment: Work within containerized environments (Linux/Kubernetes) to ensure secure, cloud-native deployments of AI solutions. 3.
- Confluence, Jira, PDFs) to Vector Databases to ensure agents have the context they need to assist employees accurately.
- What We Are Looking For (Hard Skills) Backend Proficiency: Deep
- experience in modern backend languages (Python is required; TypeScript or Go is highly desirable). AI/LLM Ecosystem: Proven hands-on
- experience with LLM APIs and agentic frameworks (e.g., LangChain, LlamaIndex, ReAct patterns). Workflow Orchestration:
- Experience with programmatic or visual tools (n8n
- Experience with modern Vector Databases (e.g., Milvus, Qdrant, Pinecone) and parsing unstructured data.
- Infrastructure Basics: Comfortable with Linux, Kubernetes (k8s), and REST API design.
- A User-Centric Engineer: You have a passion for understanding how people work and an obsession with building tools that make their "everyday jobs" easier and more impactful.