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# GenAI Senior Engineer

- **Company:** Ey Global Delivery Services (gds)
- **Location:** Málaga, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Computer Programming, Continuous Integration, Python (Programming Language), Natural Language Processing, Software Deployment, Software Engineering, Tokenization, Data Logging, Cloud Platform System, Flask (Web Framework), Large Language Models, Prompt Engineering, Generative AI, Git, Fastapi, Kubernetes, Information Technology, Virtual Agents, Api Design, Software Version Control, Docker
- **Published:** September 16, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

We are seeking a highly skilled and experienced AI/ML Engineer with a minimum of 3+ years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs. The ideal candidate should have an understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems.
To qualify for the role, you must have
Experience: 3+ years in Data Science and Artificial Intelligence, with hands-on experience in Generative AI (GenAI).
Generative AI Expertise: Strong knowledge of prompt engineering, fine-tuning models, RAGs and experience with Agentic AI approaches.
Frameworks & Tools: Proficiency with at least one framework such as LangChain, LangGraph, AutoGen, Semantic Kernel, vector databases or equivalent for building AI applications.
Programming & Engineering: Advanced skills in Python, following best software engineering practices including Git, CI/CD pipelines, and version control.
API Development: Experience building APIs using Flask, FastAPI, or similar frameworks. NLP Skills: Solid understanding of Natural Language Processing (NLP) techniques, including tokenization, embeddings, and string similarity.
Cloud Platforms: Hands-on experience with Azure, AWS, or other cloud environments for AI deployment.
Collaboration & Communication: Strong interpersonal skills with the ability to collaborate effectively across cross-functional teams.
Education: Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related technical field.
Ideally, you'll also have
Trusted AI Practices: Knowledge of AI ethics, fairness, transparency, and accountability in AI systems. Deployment & Scalability: Hands-on experience with Docker, Kubernetes, and other tools for deploying scalable AI models.
Monitoring & Reliability: Experience implementing monitoring, logging, and performance tracking to ensure AI model reliability.
Analytical & Problem-Solving Skills: Ability to translate complex business requirements into practical AI solutions.



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