Large Language Model Engineer Position
We are seeking a skilled Large Language Model (LLM) engineer to join our team. As an LLM engineer, you will be responsible for designing and implementing SLM / LLM models for various applications.
Responsibilities
- Project Execution: Ensure successful delivery of LLM-based solutions by developing the necessary code.
- 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 our clients.
Qualifications
- 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 ability to build 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 the specific needs of client use cases.
Benefits
- The 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.
- The chance to apply the latest innovations in large language models and generative AI on platforms like AWS.
- The opportunity to attend and present at AI conferences.
- A competitive salary aligned with your experience.
- A personalized career development path with continuous learning opportunities, including certifications and training in AI, cloud technologies, and leadership.