Agentic AI Solutions Engineer

## Agentic AI Solutions Engineer

Applylocations: Paris, Francetime type: Full timeposted on: Posted Todayjob requisition id: About Us**Always open. Our code, our culture, our opportunities. Leading open innovation without limits. We are SUSE.**SUSE is a global leader in innovative, reliable, and secure enterprise open source solutions, including SUSE Linux Suite, SUSE Rancher Suite, SUSE Edge Suite, and SUSE AI Suite. More than 60% of the Fortune 500 rely on SUSE to power their mission-critical workloads, enabling them to innovate everywhere – from the data center to the cloud, to the edge and beyond.

SUSE puts the “open” back in open source, collaborating with partners and communities to give customers the agility to tackle innovation challenges today and the freedom to evolve their strategy and solutions tomorrow. For more information, visit 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. We are looking for a Senior Fullstack Engineer to join our IT Strategy function. In this role, you will be the bridge between technical complexity and business utility, sitting directly between our Solution Architect and Platform Infrastructure Engineer.

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 will be designing "digital teammates" and "Utility Agents" that handle the repetitive, complex, or data-heavy tasks that comprise our future workforce's daily life. You understand that AI is a systems engineering challenge, not just a prompt engineering task. You will have the autonomy to select and deploy the right modern, open-source tools to orchestrate agentic workflows, integrate internal Systems of Record with Sovereign LLMs, and build the interfaces that power our Human-in-the-Loop (HITL) architecture.****What You Will Do********1. 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.* Workflow Orchestration: Design and build agentic and multi-agentic workflows using modern orchestration engines (e.g., n8n, Temporal, Lang

Graph, Airflow), wiring legacy internal APIs to both Sovereign Local LLMs and External Commodity LLMs to solve real-world business friction.

• Utility Agent Creation: Develop core "Utility Agents" — and, over time, creating a library of digital skills that business units can draw upon.
• Standardization: Define and document integration patterns and standardized inputs/outputs to ensure agents can be "plugged in" to various business workflows with modular scalability.****2. Custom Tooling & Backend Engineering****
• Microservices Mastery: Write highly performant microservices and custom orchestrator plugins using modern backend languages (Python, Type

Script, Go) to handle complex enterprise data.

• Resiliency & Guardrails: Code robust error-handling, exponential backoff, and fallback routing to ensure API rate limits or LLM hallucinations do not break production systems used by the business daily.
• Deployment: Work within containerized environments (Linux/Kubernetes) to ensure secure, cloud-native deployments of AI solutions.****3. 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.
• User Interface: Quickly spin up clean, functional internal tooling and approval interfaces using modern frameworks (React, Vue, or Svelte) that integrate seamlessly into the user's existing workspace.**4. Data Engineering & RAG Pipelines**
• Robust Data Ingestion: Design pipelines connecting disparate internal data sources (e.g. Confluence, Jira, PDFs) to Vector Databases to ensure agents have the context they need to assist employees accurately.
• Retrieval Optimization: Optimize chunking, embedding, and retrieval strategies to minimize noise and maximize the accuracy of RAG-based systems.**5. Enablement & Strategy**
• AGENT Framework Execution: Follow the "Assess, Govern, Engineer, Network, Transform" framework to transition the organization from bespoke experiments to an industrialized factory model.
• Business Enablement: Collaborate directly with business stakeholders to identify tasks that can be automated, creating training materials/documentation to enable users to leverage their new digital assistants.## ****What We Are Looking For (Hard Skills)****
• Backend Proficiency: Deep experience in modern backend languages (Python is required; Type

Script or Go is highly desirable).* AI/LLM Ecosystem: Proven hands-on experience with LLM APIs and agentic frameworks (e.g., Lang

Chain, Llama

Index, Re

Act patterns).

• Workflow Orchestration: Experience with programmatic or visual tools (n8n experience is a major plus).
• Vector & Data Engineering: 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.## ****Who You Are****
• A Systems Thinker: You understand that LLMs are probabilistic, and you intuitively design deterministic software guardrails to keep them on track.
• 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.
• An "M-Shaped" Engineer: You possess high technical sufficiency combined with the business acumen to communicate complex concepts to non-technical stakeholders.
• A Pragmatic Technologist: You stay at the bleeding edge of the open-source AI community and know when to adopt a new framework versus when to write custom code for security.
• Security Minded: You prioritize the secure handling of API secrets and understand the risks of prompt injection and data exfiltration in a sovereign environment.## ****SUSE Values****
• Trust: Ensuring a secure, governed, and reliable Agent Mesh through technical implementation of Responsible AI.
• Innovation: Pioneering the Agent Factory model and relentlessly engineering cloud-agnostic, modular solutions.
• Community: Embracing the open-source spirit by sharing reusable assets and knowledge.
• Choice: Empowering our teams and customers with the flexibility of open standards, ensuring modularity in our AI stack to avoid vendor lock-in.**Job**Information Technology**What We Offer** **We empower you to be bold, driving your career to create the future you want. We celebrate and reward your achievements.** SUSE is a dynamic environment that is evolving rapidly, thus requiring agility, strong entrepreneurship and an open mind. This is a compelling opportunity for the right person to join us as we continue to scale and prosper. If you’re a big thinker, obsessed by execution and thrive in a dynamic environment in which you can tangibly create a lasting legacy, then please apply now! We give you the freedom to be yourself. You will work in a global community of unique individuals – like you – with different backgrounds, talents, skills and perspectives. A truly open community where everyone is welcome, has a voice and is encouraged to reach their full potential regardless of age, gender, race, nationality, disability, sexual orientation, religion, or any other characteristics. **Sounds like the right fit for you?*
• Click **A****pply** to submit your resume. A recruiter will contact you if your skills match our current or any future positions. In the meantime, stay updated on the latest SUSE news and job vacancies by joining our **Talent Community****.**

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