Generative Ai Engineer

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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 three lines of service:

- Strategy (Outsourcing, NeXel, Team as a Service, Tech Academies)

- Research & Development (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 ******.

Seniority level

- Mid‑Senior level

Employment type

- Full‑time

Job function

- Engineering and Information Technology

Industries

- IT Services and IT Consulting

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