Oss Senior Engineer

Claranet; Lisboa; Presencial; EUR 55 000 - 85 000; Tempo integral

Resumo da oferta

Claranet in Lisbon is seeking an OSS Senior Engineer to join our internal team. You will manage AI-platform infrastructure, integrate diverse data sources, and administer Dify or equivalent LLM orchestration tools.

We expect strong Python, Linux admin, Docker/Kubernetes, and Azure OpenAI experience. Fluency in English and Portuguese is required; you will collaborate with global teams and clients on cutting-edge AI projects.

Qualificações

• Proficiency in Python.
• Strong Linux/Unix system administration experience.
• Experience with containerized environments (Docker, Kubernetes).
• Experience building AI agents and orchestration.
• Hands-on with Azure (Azure OpenAI, Azure ML).
• Hands-on with Dify or similar LLM orchestration platforms.
• Experience developing APIs with FastAPI or Flask.
• Excellent communication and interpersonal skills.
• Fluency in English and Portuguese.
• Willingness to learn and innovate.

Responsabilidades

• Manage and maintain underlying systems infrastructure (servers, Linux environments, networking) supporting AI platforms.
• Integration of platforms to ensure AI Stack connected to heterogenious sources.
• Administer and configure Dify (or equivalent LLM orchestration platforms) for internal and client-facing use cases.
• Evaluate and apply new AI models to real product needs.
• Identify and propose new solutions based on stakeholder requests, translating requirements into technical approaches.
• Define and document best practices (usage guidelines, prompts/agents patterns, deployment/operational guidelines) and share them with end users.
• Monitor models in production (performance, quality, drift, latency, reliability) and continuously improve them.
• Deploy models ensuring scalability, cost awareness, and operational robustness.
• Troubleshoot and resolve technical issues in managed platforms, including at the operating system and infrastructure level.

Conhecimentos

Python programming

Linux/Unix administration

Docker

Kubernetes

AI agents/orchestration

Azure OpenAI/Azure ML

LLM orchestration (Dify)

API development (FastAPI/Flask)

English

Portuguese

Ferramentas

Docker

Kubernetes

Azure OpenAI

FastAPI/Flask

Dify

Descrição da oferta de emprego

We're fast learners,
hard workers, natural collaborators... and we Make Modern Happen!

Our ambition is to
unlock the potential of our digital world so that organisations everywhere can
innovate and thrive securely.

We aim to achieve
this goal by bringing together the world’s most talented people and the most powerful technologies, combining them to address our customers' challenges and to build something stronger together.

Right now, we are
looking for aOSS Senior Engineer to integrate our internal team,
based inLisbon.

Your responsibilities include:

• Manage and maintain underlying systems infrastructure (servers, Linux environments, networking) supporting AI platforms;
  
• Integration of platforms to ensure AI Stack connected to heterogenious sources;
  
• Administer and configure Dify (or equivalent LLM orchestration platforms)
  for internal and client-facing use cases;
  
• Evaluate and apply new AI models to real product needs;
  
• Identify and propose new solutions based on stakeholder requests,
  translating requirements into technical approaches;
  
• Define and document best practices (usage guidelines, prompts/agents patterns, deployment/operational guidelines) and share them with end users;
  
• Monitor models in production (performance, quality, drift, latency, reliability) and continuously improve them;
  
• Deploy models ensuring scalability, cost awareness, and operational robustness;
  
• Troubleshoot and resolve technical issues in managed platforms, including
  at the operating system and infrastructure level.
  

You must have:

• Proficiency in Python;
  
• Strong knowledge of Linux/Unix systems administration (services,
  permissions, networking, troubleshooting);
  
• Experience working with containerized environments (e.g., Docker;
  Kubernetes is a plus);
  
• Experience building and implementing AI agents (tool use,
  orchestration);
  
• Solid hands-on experience with Azure (e.g., Azure OpenAI, Azure ML);
  
• Hands-on experience with Dify (or similar LLM app orchestration platforms, e.g., openwebui);
  
• Experience developing APIs with FastAPI or Flask;
  
• Excellent communication and interpersonal skills for interacting
  with colleagues, clients, and vendors;
  
• A true passion for innovation and willingness to bring forward new ideas;
  
• Ability to achieve results;
  
• Fluency in English and Portuguese.
  

We value:

• Hands-on experience with LLM ecosystems (RAG, embeddings, vector databases);
  
• Cloud experience (AWS/GCP/Azure) and deploying scalable inference services;
  
• Exposure to CI/CD pipelines and DevOps practices;
  
• System administration certifications (e.g., LPIC, RHCSA) or
  equivalent practical experience;
  
• Dynamism, initiative and high sense of responsibility.