Artificial Intelligence Model Developer

Overview Generative AI Engineer Job Description

We are seeking a skilled Generative AI Engineer to join our team. The successful candidate will have experience working with large language models (LLMs) and be proficient in cloud platforms, CI / CD tools, and machine learning frameworks.

The primary responsibility of this role is to design, implement, and deploy LLM-based solutions that meet the specific needs of client use cases. This includes developing LLM use cases, implementing MLOps pipelines, optimizing large models for efficient inference, and model monitoring, retrieval strategies, and feedback loops to continuously improve model performance.

This is an exciting opportunity for someone who wants 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 are just a few of the benefits you can expect.

Key Responsibilities Project Execution : Ensuring successful delivery of LLM-based solutions, developing necessary code pieces.

Platform Development : Automating LLM platform management using Infrastructure as Code (IaC) and deploying LLMs in large-scale environments.

CI / CD and MLOps Integration : Developing pipelines for LLMs that streamline the lifecycle from training and fine-tuning to deployment and performance monitoring.

LLM Customization : Building custom solutions to integrate LLMs with external systems, leveraging APIs, middleware, and bespoke development to meet client requirements.

Innovation : Staying at the forefront of generative AI technologies, particularly LLM advancements, and bringing cutting-edge solutions to our clients.

Requirements Experience : 2+ years working with AI projects, specifically involving large language models (GPT, BERT, etc.).

Cloud Platforms : Proficient in cloud platforms (AWS, GCP, Azure).

CICD Tools : Proficient in CI / CD tools (Jenkins, GitLab, GitHub Actions) and have built pipelines that support AI / ML workflows, especially for LLMs.

Programming Skills : Strong programming skills in languages like Python, with a focus on using machine learning frameworks like Transformers, PyTorch, or TensorFlow.

Deployment Experience : Experience deploying LLM models in production, ensuring they meet the specific needs of client use cases.

What We Offer Competitive Salary : A competitive salary aligned with your experience.

Personalized Career Development Path : A personalized career development path with continuous learning opportunities, including certifications and training in AI, cloud technologies, and leadership.

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