GenAI Python Engineer

Vacaturebank; Nederland (TX); On-site; USD 90,000 - 135,000; Full time

Job summary

Schuberg Philis is seeking an experienced GenAI Python Engineer to design, build and operate AI platforms powering customers’ critical systems. Your role spans production deployment of GenAI applications using Python, with hands-on work on LangChain, TensorFlow, PyTorch and FastAPI.

You’ll help shape architecture, performance and reliability in secure, high‑quality environments. You will join a small, expert team that values collaboration, clean code and measurable business value through

Qualifications

• 6+ years in commercial software engineering.
• Proven experience with GenAI production deployments.
• Hands-on with LangChain, TensorFlow, PyTorch or FastAPI.

Responsibilities

• Design, build and operate GenAI platforms powering customer systems.
• Deploy GenAI applications in production using Python and modern frameworks.
• Collaborate on architecture, reliability and security of AI solutions.
• Guide platform evolution and adoption across teams.

Skills

GenAI development

Python

Architectural decisions

Change management

Tools

LangChain

TensorFlow

PyTorch

FastAPI

Job 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.