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OSS Senior Engineer

Descrição do Emprego - OSS Senior Engineer

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.

If you share our
vision, join us!

Right now, we are
looking for a OSS Senior Engineer to integrate our internal team,
based in Lisbon.

 

 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);

  • MLOps practices: CI/CD for ML, experiment tracking, model registry,
    monitoring/observability;

  • 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.

 

We
offer:

  • Regular
    professional development;

  • Certification
    paths resources;

  • Regular teambuilding programs;
  • Friendly workplace.

 

Workplace: Lisbon (Hybrid)  

Claranet: Make Modern
Happen!



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