GenAI Python Engineer
Schuberg Philis Best, North Brabant, Netherlands
Information Technology & Services · 201-500 employees
Applying here? Try the free cover letter tool — paste this posting and your résumé, no account needed.
About the role
Design, develop, and operate advanced AI platforms and AI-powered solutions to support critical business processes. Drive architectural decisions and lead technology adoption to deliver measurable business value.
What they look for
Requirements
Requires at least 6 years of commercial software engineering experience with a focus on building and deploying Generative AI applications. Proficiency in Python and experience with frameworks like LangChain, TensorFlow, or PyTorch is essential.
Full description
Design, deliver and operate the AI platforms that power our customers' most critical systems
At Schuberg Philis, we do more than deliver IT solutions. We design, build and operate business-critical systems that our customers rely on every day. From infrastructure to cloud-native platforms, every layer is engineered for maximum reliability and quality. Working closely with our customers, we ensure their most important processes continue to run smoothly, no matter how complex the environment.
We are looking for an experienced GenAI Python Engineer to join a small, close-knit and self-managing team. Our mission is to design and develop advanced AI platforms, AI-powered solutions and applications that transform the way our customers operate across a variety of industries.
These platforms provide the foundation for innovation, reliability and scalability, supporting critical business processes in high-security environments. The solutions built on top of these platforms fundamentally change how our customers run their businesses.
Our Ideal Colleague Has Experience With:
- At least 6 years of proven commercial experience in a professional software engineering environment.
- Designing, building and maintaining Generative AI applications, including deploying and operating them in production using Python.
- Hands-on experience with GenAI frameworks, libraries or platforms such as LangChain, TensorFlow, PyTorch or FastAPI.
- Working with Generative AI models in production environments, both open-source and proprietary, including models such as GPT, Llama and Claude.
- Implementing and optimizing core GenAI components, including vector databases, embeddings, chunking strategies and evaluation frameworks.
- Driving architectural decisions and contributing to the long-term technical vision of a platform or product.
- Leading technology adoption and change management initiatives to ensure cutting-edge solutions deliver measurable business value.
Everyone we work with and consider working with has a right to equal treatment. The hiring and appraisal process at Schuberg Philis is designed to be thorough and equitable, implementing fair payment, benefits, and opportunities across all demographics.
It is our desire to be a company that brings together multiple nationalities, cultures, religions, genders, abilities, and talents within and across our teams. We welcome colleagues from diverse backgrounds to join Schuberg Philis and actively support diversity and inclusion in the tech industry.
Similar roles
-
Stage Ingénieur Système Spatial & Validation Logicielle (Python) (F/H)
Telespazio France Toulouse, Occitania, France
-
IA Engineer Python Madrid
knowmad mood Madrid, Community of Madrid, Spain
-
Machine Learning Engineer / MLOps Engineer – GCP y Python
TECDATA ENGINEERING Spain
-
Senior Backend Developer (Go e Python) | Laura
Welyk Milan, Lombardy, Italy · €50K–€70K/yr
-
Lead Software Engineer - Python and AI
JPMorgan Chase & Co. Bengaluru, Karnataka, India
-
Engineering Manager (Java, AWS, Python)
Experian Hyderabad, Telangana, India