Generative AI Developer (m/f/d) - Göttingen
- Status
- Open
- Remote policy
- Not stated
- Employment type
- Not stated
- Salary
- 55,000-75,000 EUR / year
- Source
- germantechjobs
- First observed
- 2026-10-16 15:53 UTC
- Last seen
- 2026-10-16 15:53 UTC
- Source claims posted
- 2026-10-16 07:59 UTC
- Consecutive misses
- 0 of 3
What the posting says
Salary: 55.000 - 75.000 € per year
Requirements:
Successfully completed masters degree in computer science or a related field
Very good programming skills in a high-level programming language, primarily Python
Very good Linux skills, such as Bash scripting, Git, and containers
Good knowledge of software engineering, including security and testing
Good knowledge of DevOps, such as GitLab, CI/CD pipelines, automated testing, and pytest
Good knowledge of databases, including SQLModel, SQL, PostgreSQL, and SQLite
Experience with web development, including HTTP, FastAPI, HTML, and JavaScript
Basic knowledge of generative AI, such as LLMs and diffusion models, and experience using PyTorch or TensorFlow
Excellent analytical and problem-solving skills
Very good German and English skills (C1)
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, such as 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
Responsibilities:
Design solutions for customer use cases using our existing AI infrastructure
Support companies in developing AI services
Generate blueprints and whitepapers
Document solutions for internal knowledge sharing and customer handover
Represent us at workshops and conferences
Integrate new AI solutions into our AI service portfolio
Integrate new AI solutions into the SAIA Platform (Scalable Artificial Intelligence Accelerator)
Technologies:
AI
Bash
CI/CD
DevOps
FastAPI
Git
GitLab
HTTP
Support
JavaScript
Kanban
Linux
Machine Learning
Mobile
Network
PostgreSQL
PyTorch
Python
SQL
SQLite
Security
TensorFlow
Web
pytest
Hardware
More:
We are the Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (GWDG), the university computing center for the Georg-August-Universität Göttingen and a computing and IT competence center for the Max Planck Society. We have provided high-performance HPC systems for over 40 years, are part of the National High-Performance Computing network, and operate the HLRN-IV system Emmy. We support researchers and students across scientific fields and participate in national and international research projects. This role is part of our AI Service Center for Sensitive and Critical Infrastructure (KISSKI), within the KISSKI-EvoKS subproject, collaborating with SMEs and startups—primarily in sectors with high data protection requirements—to develop prototypes and workflows leading to proofs of concept and blueprints. The position is in our interdisciplinary team of HPC experts in the Computing working group. We offer a stimulating research environment with the University of Göttingens Faculty of Mathematics and Computer Science and Campus Institute Data Science, at the intersection of applied computer science, HPC, AI, and machine learning. The role is 39 hours per week (100%), initially limited until 31 December 2029, and suitable for part-time work. Depending on qualifications, remuneration is at TVöD E 13. We aim for long-term collaboration, and a doctorate may be possible. We offer flexible working hours, mobile working, a modern and diverse environment close to academia and research, collaboration in a committed team, opportunities for professional development, and public-sector social benefits. We welcome applications from all backgrounds and particularly encourage applications from severely disabled people.
last updated 42 week of 2026
Quality
- + Salary range stated weight 35%
- x Remote policy stated weight 20%
- x Location stated weight 15%
- + Organisation stated weight 15%
- + Publication date stated weight 15%
Not enough history yet to judge honesty signals.
Timeline
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#1379565 2026-10-16 15:53 UTCPublished