GenAI Platform Engineer — Python in Production

Schubergphilis; Best; On-site; EUR 90,000 - 130,000; Full time

Job summary

Schuberg Philis is seeking an experienced GenAI Python Engineer to design, build and operate AI platforms powering critical systems. You will join a small, self-managing team focused on delivering scalable, reliable GenAI applications in production environments.

The role requires hands-on expertise with Python, GenAI frameworks, and deployment in production, working with models like GPT, Llama and Claude. You will help drive architectural decisions and contribute to a long-term technical vision

Qualifications

• 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.

Skills

Python

Generative AI

LangChain

TensorFlow

PyTorch

FastAPI

Production deployment

Vector DBs

Embeddings

Architectural decisions

Change management

Open-source models

Tools

LangChain

TensorFlow

PyTorch

FastAPI

Job description

Schuberg Philis is seeking an experienced GenAI Python Engineer to design, build and operate AI platforms powering critical systems. You will join a small, self-managing team focused on delivering scalable, reliable GenAI applications in production environments.

The role requires hands-on expertise with Python, GenAI frameworks, and deployment in production, working with models like GPT, Llama and Claude. You will help drive architectural decisions and contribute to a long-term technical vision