GenAI Engineer (Hybrid)
Inno
Wave is looking for a dynamic and agile Gen
AI Engineer to complete our team. If you're searching for a position where you can influence how AI is used in the digital transformation, this might be the opportunity for you. This is a hybrid position.
Responsibilities
- Lead the development and implementation of complex Gen
AI solutions. - Optimize data pipelines to integrate them efficiently into Gen
AI models. - Participate in strategic projects focusing on Gen
AI. - Prepare data and Po
C's. - Autonomous development of Gen
AI based applications. - Code implementation (Python) and usage of Cloud Paa
S services and analytics frameworks.
Skills
- Degree in Informatics Engineering, Computer Science or similar areas.
- Minimum of 3 years work experience in similar roles.
- Experience with Machine Learning, Generative AI or similar areas.
- Experience implementing Gen
AI solutions. - Ability to optimize and manage Gen
AI models in Cloud infrastructures. - Proficiency in Python.
- Demonstrable experience building applications with Large Language Models.
- Deep understanding of Retrieval Augmented Generation (RAG) architecture and principles.
- Hands-on experience with LLM orchestration frameworks.
- Experience deploying applications to multiple environments (e. g. , dev, production).
- Experience with CI/CD principles and scripting for automation.
- Fluent in English - written and spoken (mandatory).
Inno
Wave gives equal opportunity in employment regardless of gender, gender identity, sexual orientation, marital status, race, nationality, religion, age, disability, political beliefs, or any other factor. Inno
Wave will not pay fees to any
- party agency or company that does not have a signed agreement, do not submit resumes/CV's directly.
By answering to this job post, you consent the use of your data by Inno
Wave Group, for as long as necessary. We conduct regular
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- Informações detalhadas sobre a oferta de emprego
Empresa: InnoWave Localização: Lisboa
Lisboa, Lisboa, PortugalPublicado: 22. 10. 2025
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