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Agentic AI Solutions EngineerSUSE • Paris, Île-de-France, France
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Agentic AI Solutions Engineer

Agentic AI Solutions Engineer

SUSE • Paris, Île-de-France, France
Il y a 17 jours
Type de contrat
  • Temps plein
Description de poste

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 includingSUSE Linux SuiteSUSE Rancher SuiteSUSE Edge Suite andSUSE 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.

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. We are looking for a Senior Fullstack Engineer to join our IT Strategy 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 workforces 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 LangGraph 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 TypeScript 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 users 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; 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 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 youre 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 Apply to submit your resume. A recruiter will contact you if your skills match our current or any future the meantime stay updated on the latest SUSE news and job vacancies by joining our Talent Community.

SUSE Values

  • Choice

  • Innovation

  • Trust

  • Community


Required Experience:

Unclear Seniority


Employment Type : Full-Time
Experience: years
Vacancy: 1

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Agentic AI Solutions Engineer • Paris, Île-de-France, France

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