Generative Ai Engineer

Generative Ai Engineer
Lisboa
Lisboa, Lisboa, Portugal

With just over 7 years of experience in the Portuguese market, we share our DNA with more than 200 workers and position our offer according to 3 lines of service:

• Strategy (Outsourcing, Ne
  Xel, Team as a Service, Tech Academies);
  
  
• R&D (Bootcamps, POC, Tech Lab);
  
  
• Nearshore.

In ADENTIS, we focus on PEOPLE. This is our emotional salary:

• Great Work-Life balance;
  
  
• Very flexible organizational routine;
  
  
• Health benefits(for you and your family);
  
  
• Team Building activities;
  
  
• Over 300 protocols to offer you great discounts in different areas;
  
  
• Continuous professional development sponsored by our Training and Certification Department;
  
  
• Regular feedback on your performance through a personalized plan;
  
  
• Comprehensive career plan and progression involving assertive performance reviews.

Responsibilities:

- Develop and implement generative AI models, including LLMs and multimodal architectures, for use cases such as content personalization, intelligent automation, semantic analysis, and assisted creation.

- Create and manage automated data pipelines and
- tuning workflows, ensuring efficient data processing, dataset preparation, and seamless integration of generative models into existing systems and workflows.

- Enhance platform monitoring capabilities in alignment with the Data Science team to ensure the quality, consistency, and reliability of data used for training, evaluation, and inference of generative models.

- Collaborate with Data Engineering (DE) and IT teams to identify and leverage data platforms that support the development of feature stores, pipelines, and dataset management for generative AI workloads.

- Advance the MLOps/LLMOps discipline to include model versioning (model registry), dataset versioning, prompt management, and experiment tracking to support a robust experimentation environment.

- Utilize Azure Databricks for data processing, model training,
- tuning, and deployment, optimizing resources for efficient and
- effective generative AI solutions.

- Design and maintain scalable,
- performance infrastructure required to serve generative models in production environments.

- Work closely with IT and Dev
Ops teams to manage cloud resources and deployment environments, ensuring security, scalability, and performance of generative AI applications.

You must have:

- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

- Proven experience as a Machine Learning Engineer, Generative AI Engineer, or similar role, preferably with exposure to CRM and
- based solutions.

- Proficiency in developing generative AI models,
- tuning LLMs, working with embeddings, RAG techniques, and applying models for personalization, automation, and semantic understanding.

- Experience with pipeline automation, data flow monitoring, and
- on use of Azure Databricks for data processing, training, and deployment of generative models.

- Familiarity with cloud infrastructure management, preferably within the Azure ecosystem, and strong programming experience with Python (and optionally R or Scala).

- Proficiency with relevant frameworks and libraries such as Hugging Face Transformers, Lang
Chain, Py
Torch, Tensor
Flow, or similar tools.

- Strong analytical and
- solving skills, paired with excellent communication and collaboration abilities.

- Familiarity with Dev
Ops/LLMOps practices and tools, with experience in CRM platforms and customer data analytics considered an advantage.

- EU Citizenship or Portuguese Working Visa / Residency.

- Availability for
- office collaboration twice per month.

If you want to be part of a real People First organization, join us! Send your CV to