GenAI Python Engineer

Requirements

• Experience with Docker and Kubernetes
• Some front-end exposure
• 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.

Benefits

Additional Information

Build Mission-Critical GenAI At Schuberg Philis, we go beyond delivering IT solutions. We design, build, and operate mission-critical systems that our customers depend on every day. From infrastructure to cloud-native platforms, every layer is engineered for maximum reliability and quality. We work closely with our customers to ensure their most vital operations run seamlessly, regardless of complexity. We are seeking an experienced GenAI Software Engineer to join a small, close-knit, self-managing team. Our mission is to develop advanced AI platforms, AI-driven solutions, and applications that transform how our customers operate across a wide range of industries. These platforms serve as the backbone for innovation, reliability, and scalability, supporting critical operations in high-security environments. The solutions built on top of them redefine the way our customers run their business. Our ideal colleague has experience with: Designing, building, and maintaining applications and bringing them to production. Experience with building GenAI applications is a plus Hands-on experience with using GenAI models for production applications, both open and closed source (e.g., GPT, Llama, Claude) Hands-on experience with other GenAI application components like models, vector databases, embeddings, chunking and evaluation Python experience Ability to understand business problems and translate them into effective technical solutions Driving architectural decisions and contributing to long-term technical vision Experience of applying change management practices when delivering cutting-edge technology solutions and platforms to ensure value is delivered Ability to tinker and follow up quickly with new technology change, the pace at which you need to keep track of new AI knowledge is high.

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