MLOps Intern – Enhancing Generative AI and LLM Tooling (F/H)

Internship Description

This internship offers an exciting opportunity to actively contribute to the development and optimization of internal LLM libraries, agent-based systems, automated prompt optimization, and vector-based retrieval mechanisms (including image retrieval and late-interaction methodologies). The intern will collaborate closely with senior developers and MLOps engineers to design, code, and deploy innovative AI-driven solutions.

The internship will emphasize hands-on coding, with a strong focus on software engineering best practices, continuous integration, and deployment optimization.

Core Responsabilities

• Python development on internal LLM libraries, improving modularity, performance, and usability.


• Design and implementation of agent-based and swarm intelligence mechanisms to enhance system automation and efficiency.


• Development and automation of prompt optimization techniques for enhanced LLM performance.


• Implementation and optimization of vector-based retrieval systems (image retrieval, late-interaction strategies).


• Support and actively participate in MLOps tasks, including continuous integration (CI/CD), testing, dockerization, and deployment of AI solutions.

Technologies we use

• Python


• Azure OpenAI

Docker / Kubernetes / Azure DevOps (CI/CD pipelines)