Jobs / United States / Schubergphilis

GenAI Python Engineer

Schubergphilis · 🇺🇸 Best, North Brabant

Sponsorship verdict

No sponsorship evidence yet

No government record and no wording either way. Not a refusal — ask the recruiter.

  • No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
  • Confirmed live todayWhen a source last listed this job as open.

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

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Sponsor Radar — Schubergphilis

Employer-posted — not on a register

This employer posted directly and does not match a government sponsor register.

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About the role

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. Find Jobs in Netherlands on Arbeitnow

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Source: Arbeitnow feed First seen: 2026-10-14 Last confirmed: 2026-10-14 How our data works → Report this job

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