Generative AI Developer

Quick Facts

• Role: Generative AI Developer

• Focus: Prototype and integrate generative AI workflows for customer and research use cases

• Work: 39 hours/week (100%), initially limited until 31 December 2029; suitable for part-time

• Work style: Flexible hours and mobile working

Description

You will design and implement generative AI solutions for customer use cases using existing AI infrastructure. In collaboration with SMEs and startups, you will create proofs of concept, blueprints, and internal documentation while integrating new solutions into an AI service portfolio and the SAIA Platform. You will also support the development of AI services and represent the team at workshops and conferences.

Responsibilities

• Design solutions for customer use cases using existing AI infrastructure

• Support companies in developing AI services

• Generate blueprints and whitepapers

• Document solutions for internal knowledge sharing and customer handover

• Represent the organization at workshops and conferences

• Integrate new AI solutions into the AI service portfolio

• Integrate new AI solutions into the SAIA Platform (Scalable Artificial Intelligence Accelerator)

Requirements

• Master’s degree in computer science or a related field

• Very good programming skills in a high-level programming language, primarily Python

• Very good Linux skills (e.g., Bash scripting, Git, containers)

• Good knowledge of software engineering, including security and testing

• Good knowledge of DevOps (GitLab, CI/CD pipelines, automated testing, pytest)

• Good knowledge of databases (SQLModel, SQL, PostgreSQL, SQLite)

• Experience with web development (HTTP, FastAPI, HTML, JavaScript)

• Basic knowledge of generative AI (LLMs, diffusion models) and experience using PyTorch or TensorFlow

• Excellent analytical and problem-solving skills

• German and English skills at C1 level

• Willingness to travel for work

• Ability to communicate technical concepts to non-technical customers

• Experience in customer-facing technical roles

• Basic knowledge of agile software development (Kanban or Scrum)

• Experience with service-oriented user support

• Exposure to HPC, scientific computing, or data-intensive domains

• Experience using HPC systems such as SLURM

Benefits

• Flexible working hours and mobile working

• Modern and diverse environment close to academia and research

• Collaboration in an interdisciplinary, committed team

• Opportunities for professional development

• Public-sector social benefits; long-term collaboration possible

• Remuneration based on TVöD E 13; doctorate may be possible