Python Backend Engineer (m/f/x)

Data Scientist (m/f/x) Location: EU (Remote) Who You’ll Work For : At Makersite, we're pioneering the future of sustainable product development and digital collaboration. As a leading platform for product lifecycle management (PLM), we empower companies to make smarter, more sustainable decisions across their entire supply chain. Our cutting-edge software enables teams to design, prototype, and manufacture with transparency, efficiency, and responsibility—reducing environmental impact while optimizing performance. We're a fast-growing, innovative company that thrives on creativity, collaboration, and continuous learning. If you're passionate about technology, sustainability, and creating meaningful impact, we’d love to hear from you. Join us and be a part of shaping the future of manufacturing and product innovation. Who we're looking for: As part of our growing team, you will play a key role in shaping the future of sustainable product development. We’re looking for innovative, driven Data Scientists who are passionate about technology and sustainability to join us in building tools that enable companies to make smarter, more responsible decisions. In this role, you’ll have the opportunity to collaborate with talented professionals, contribute to cutting-edge projects, and help drive the digital transformation of industries worldwide. Ifyou're ready to make an impact and contribute to meaningful change, we want to hear from you! This role is a fixed, permanent position. All successful applicants will receive a permanent employment contract regardless of location. The role: Develop and Deploy Production-Grade AI Systems Build, deploy, and maintain scalable APIs that serve AI/ML models in production environments Own end-to-end delivery of AI solutions, from prototyping to fully productionized systems Design Advanced AI Architectures Design and implement Retrieval-Augmented Generation (RAG) systems using vector databases Build and orchestrate AI agents using framewor…

Veröffentlicht 14 Sept 2026

About us As one of Germany's leading HealthTech companies, we are transforming discharge management by making it technology driven, patient centered, and free of bureaucracy. In addition to our market leading SaaS platform, we are developing AI solutions that radically simplify processes in clinics and for aftercare providers, relieve the burden on healthcare professionals, and put the focus back on patients. We currently connect over two thirds of all German hospitals with more than 650 rehabilitation clinics, and over 25,000 care and homecare providers. With around 120 employees from a broad range of nations, we are continuing to grow and are looking for people with the right attitude who want to improve the healthcare system alongside us. We're now going far beyond our core business, aiming to eliminate bureaucracy and admin in hospitals with a whole portfolio of AI products. What you'll work on Aftercare provider operations are becoming increasingly complex and data driven. Bringing change is very hard, but we're not afraid. You'll build features that help care facilities, rehabilitation centers, and healthcare chains better allocate resources, unlock actionable insights from patient data, and integrate Recare seamlessly into their internal systems. Our ambitious roadmap focuses on expanding our marketplace's receiver side with enhanced analytics tools, B2C platforms connecting providers directly with patients, expanded API integrations, and much more. Secure communication is at our core. Our solution provides end to end encryption for healthcare professionals to safely exchange messages and patient data through both our applications and external API integrations. In this role, you will: Own a domain inside our core Go codebase, contributing to architecture decisions and code quality within your area Work inside a well structured system with some standalone services around the edges, including an on premise gateway for hospital integrations, rather than a spraw…

Veröffentlicht 13 Sept 2026

At praxipal, we are building an AI-powered healthcare admin workforce to address the global shortage of medical staff. Medical assistants are too valuable to spend their days chasing callbacks, cleaning up schedules, sending repetitive messages, or wrestling with invoicing and documentation workflows. Staff should spend time on patients. That’s why we build Luna. Our AI receptionist, Luna, answers and automates phone calls and she’s loved by hundreds of medical practitioners. Right now, we’re expanding her from calls to end-to-end patient communication across any channel. Over the next years, we’ll grow her into an AI worker that automates all administrative processes in medical practices, embedded directly into the systems practice teams already use. We’re backed by one of Europe’s leading investors and are one of the fastest growing healthtech startups in Germany. Our team has previously worked and studied at Palantir, Amazon, SAP, the University of Cambridge, and Hasso Plattner Institute. We're hiring a (Senior) Software Engineer to help us scale Luna from hundreds of medical practitioners to hundreds of thousands. The role Integration is the bottleneck and the unlock: Luna can only automate workflows when she can reliably read and write the source of truth inside a practice: schedules, patient context, messages, statuses, and workflow metadata. That data lives in practice management systems (PMS) and related tools. You’ll work hands-on, shipping production integrations. As the integration surface grows, you’ll shape the architecture, standards, and processes that keep integration work scalable. What you'll do Build integrations that unlock Luna’s next capabilities Design and implement read/write integrations into third-party practice management systems Design infrastructure that scales to hundreds of thousands of individual practice servers Engineer reliability into the system: data consistency, idempotency, retries, error handling, observability Triage integra…

Veröffentlicht 11 Sept 2026