Generative AI Engineer

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, NeXel, 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 fine-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, fine-tuning, and deployment, optimizing resources for efficient and cost-effective generative AI solutions.

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

- Work closely with IT and DevOps 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 platform-based solutions.

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

- Experience with pipeline automation, data flow monitoring, and hands-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, LangChain, PyTorch, TensorFlow, or similar tools.

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

- Familiarity with DevOps/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 in-office collaboration twice per month.

If you want to be part of a real People First organization, join us Send your CV to andre.lago@adentis.pt