Generative AI Engineer

About the Role

We are looking for an experienced AI Software Engineer (Backend) to join the Data Innovation team on a short-term project. In this role, you will focus on hosting and serving generative AI models, algorithms, and related software applications.

Key Responsibilities

• Collaborate with software engineers throughout the software development life cycle.
• Work closely with data scientists and AI engineers to understand model requirements and objectives.
• Troubleshoot and resolve issues related to generative AI model functionality and performance.
• Monitor performance and availability of GenAI proxies, addressing any issues or bottlenecks.
• Contribute to developing modern, secure, and accurate AI and LLM-based solutions.
• Communicate effectively with stakeholders, including data scientists, AI engineers, and IT teams, to ensure smooth collaboration.

Requirements

• Bachelor’s or Master’s degree in Computer Science, IT, Artificial Intelligence, Data Analytics, or related field.
• Strong programming skills in Python; knowledge of JavaScript (Node.js) is a plus.
• Familiarity with Python-based web frameworks (FastAPI, Flask, Django, etc.).
• Solid understanding of large language models (LLM), machine learning algorithms, and neural networks.
• Experience in configuring and optimizing GenAI models for performance and efficiency.
• Ability to collaborate with data scientists and AI engineers for model development and deployment.
• Hands-on experience with public cloud AI platforms (e.g., Azure, GCP).
• Knowledge of prompting techniques and best practices for fine-tuning generative models.
• Skilled in troubleshooting GenAI models, repositories, and proxies.
• Proven ability to work in a multicultural and cross-functional environment.
• Strong English communication skills and a collaborative mindset.
• Analytical thinking and end-user focus.

Project Details

• Type: B2B contract
• Duration: 3 months
• Start Date: January 2026
• Work Mode: Remote
• Extension: Possible