InnoWave is looking for a dynamic and agile GenAI 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.
QA Automation Engineer
Responsibilities
- Lead the development and implementation of complex GenAI solutions.
- Optimize data pipelines to integrate them efficiently into GenAI models.
- Participate in strategic projects focusing on GenAI.
- Prepare data and PoC's.
- Autonomous development of GenAI based applications.
- Code implementation (Python) and usage of Cloud PaaS 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 GenAI solutions.
- Ability to optimize and manage GenAI 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).
- Familiarity with CI/CD principles and scripting for automation.
- Fluent in English - written and spoken (mandatory).
InnoWave 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. InnoWave will not pay fees to any third-party agency or company that does not have a signed agreement, do not submit resumes/CV's directly.
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