Senior Generative AI Engineer Lisboa

Patrianna is a rapidly expanding product development company headquartered in Gibraltar, with a dynamic team spanning the globe. We are on the lookout for exceptional talent—driven, ambitious individuals who are ready to elevate business functions with expertise, adaptability, and a passion for continuous growth.

At Patrianna, we're using generative AI to reimagine how data turns into action. As a Senior Generative AI Engineer, you'll be a key technical leader on our AI team - driving innovation, leading complex build efforts, and helping shape the future of how AI powers our platforms.

This is a
- on role for someone who's both a deep technologist and a strategic thinker - ready to own
- impact projects from design through deployment. You-'ll work closely with product, engineering, and data teams to ensure that generative AI capabilities are scalable, ethical, and aligned to
- world needs.

We're looking for someone who thrives at the edge of research and implementation, loves solving tough problems, and sees mentorship as part of their craft.

What You-'ll Be Doing

• Design, build, and deploy advanced generative AI systems - including LLMs, diffusion models, and other architectures - for applications like data synthesis, intelligent content generation, and predictive analytics.
• Take technical ownership of key initiatives, from early prototyping to production deployment - collaborating across disciplines and ensuring high performance, reliability, and security.
• Drive innovation in prompt design,
  - tuning strategies, and RAG implementations to ensure model outputs are contextual, trustworthy, and actionable.
• Develop and maintain robust APIs and microservices that connect AI models to our broader data and product ecosystem. Provide guidance, code reviews, and best practices to help elevate the broader
  - 's technical capability and understanding of generative AI.
• Apply and advocate for ethical principles, data governance, and model transparency in everything you build - aligned with Patrianna-'s standards.
• Work closely with product managers, platform engineers, and data scientists to align technical solutions with business goals.

What You-'ll Bring

Required Skills

• 4–6 years of experience in AI/ML engineering, including
  - on work with generative models and AI infrastructure.
• Proven experience deploying LLMs, diffusion models, or other generative AI technologies using frameworks like Hugging Face, Py
  Torch, or Tensor
  Flow.
• Strong Python programming skills and familiarity with modern MLOps workflows, CI/CD, and version control.
• Expertise in prompt engineering,
  - tuning, and RAG techniques.
• Experience building scalable APIs and deploying AI services on cloud platforms - particularly Google Cloud (Vertex AI, Generative AI Studio, etc. ).
• Strong communication and collaboration skills, with the ability to translate technical ideas into clear, actionable outcomes.

Nice-to-Have Skills

• Google Cloud ML or Data Engineering certifications.
• Experience mentoring engineers or leading small
  - functional pods.
• Familiarity with orchestration tools (e. g. , Kubeflow, Airflow) and model monitoring frameworks.
• Contributions to
  - source AI projects or involvement in AI research communities.