Generative AI Engineer We are seeking a skilled engineer to design and implement large language models for various applications. As part of our data intelligence team, you will work on building and optimizing LLMs, integrating them into scalable platforms, and creating AI-driven use cases that solve real-world business challenges. Key Responsibilities: • Project execution: Ensure successful delivery of LLM-based solutions, developing the necessary code pieces. • Platform development: Automate LLM platform management using infrastructure as code (IaC) and deploy LLMs in large-scale environments. • CI/CD and MLOps integration: Develop pipelines for LLMs that streamline the lifecycle from training and fine-tuning to deployment and performance monitoring. • LLM customization: Build custom solutions to integrate LLMs with external systems, leveraging APIs, middleware, and bespoke development to meet client requirements. • Innovation: Stay at the forefront of generative AI technologies, particularly LLM advancements, and bring cutting-edge solutions to clients. Requirements: • 2+ years of experience working with AI projects, specifically involving large language models (GPT, BERT, etc.). • Hands-on experience with cloud platforms (AWS, GCP, Azure). • Proficiency in CI/CD tools (Jenkins, GitLab, GitHub Actions) and have built pipelines that support AI/ML workflows, especially for LLMs. • Strong programming skills in languages like Python, with a focus on using machine learning frameworks like Transformers, PyTorch, or TensorFlow. • Experience deploying LLM models in production, ensuring they meet specific client needs. Benefits: • Opportunity to work on high-priority LLM projects for leading companies in Spain and Europe. • Direct visibility to senior leadership and involvement in transformative AI initiatives. • Chance to apply the latest innovations in large language models and generative AI on platforms like AWS. • Competitive salary aligned with experience. • Personalized career development path with continuous learning opportunities, including certifications and training in AI, cloud technologies, and leadership. #J-18808-Ljbffr