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LearnWise is a company where the best idea always wins — no matter what — and where innovation and hyper-growth are in our DNA. We offer Engineering internships designed to build future technical leaders - hopefully at LearnWise! Internship · EU · Remote Department: Engineering Reports to: Head of AI Work alongside: CTO, AI team, Engineering & Product Job Description LearnWise.ai is a scale-up modernizing educational institutions with virtual assistants, instructor efficiency, and student engagement solutions for higher education. We’re seeking an inspired and rigorous Engineering Intern for a 6-month internship focused on AI systems, reliability, and product behavior. You’ll join a VC-funded team with a track record of exponential growth. You’ll work closely with leadership and be expected to propose, test, and ship your own ideas. What you’ll do AI Systems & Reliability Troubleshoot LLM behavior and agent actions across our Tutor Assistant, automatic feedback, and other AI features; identify root causes and ship fixes. Use LangSmith, LogFire and other tools to trace requests end-to-end, correlate prompts, tools, and outputs, and explain why a behavior occurred. Implement pragmatic guardrails, fallbacks, and caching; reduce failure modes and improve correctness under real usage. Retrieval & Relevance Optimize our retrieval pipelines: choose and tune embeddings, refine vector-database indexing/search strategies, and evaluate re-rankers for higher precision/recall. Design and run experiments (e.g., recall@k, MRR, nDCG, groundedness checks) that translate directly into product wins. LLM Ops & Tooling Contribute to LLM Ops: prompt/tool versioning, dataset curation, regression test suites, latency/cost monitoring, and safe rollout strategies (shadow, A/B). Build small utilities to surface failure taxonomies, detect drift, and turn traces into actionable fixes. Grow into feature development that measurably improves product quality and student outcomes. Collaboration & Strategy Partner with the Head of AI, CTO, AI team, Engineering, and Product to shape technical direction. Share learnings clearly; propose changes that improve model performance, reliability, and UX. Requirements Core Requirements Strong proficiency in Python. Master’s (ongoing or completed) in AI/ML or a related field, or equivalent experience demonstrating comparable depth. Solid understanding of modern AI models and AI-powered applications (prompting, tool-use/agents, RAG, context management, evaluation). Hands-on experience with LLMs and/or tool-using agents: debugging prompts, tracing tool calls, analyzing failure modes. Ability to design evaluation loops (golden sets, regression tests, online experiments) that make reliability measurable and improvable. Ability to figure things out independently and chase issues until completion. Nice to Have Experience optimizing RAG components: embeddings selection/tuning, vector DB configuration, re-ranker selection/evaluation. Familiarity with AI observability/monitoring practices and failure taxonomies. Fluent in English; direct, candid communication style; hungry to learn and ship. What’s in it for you? Direct mentorship from senior leadership (CTO, Head of AI, Head of Product). Work with a global team on cutting-edge AI applications. Flexible working arrangements (results > hours). A “no 9-to-5 mentality” and genuine focus on work-life balance. If you’re passionate about engineering with AI, eager to learn, and excited to work in a fast, practical startup environment, this is your chance to build AI that meaningfully improves student outcomes. We’d love to hear from you.

Are you looking for the next challenge in your professional career? Would you like to be part of a highly qualified team in an international environment? We are currently looking for a Intern Embedded Software Engineer (C & Python ) Join an international division and work alongside some of the most talented engineers and technicians in the world. Your Benefits: Competitive salary Long-term stable contract International project with cutting-edge technologies Remote work possibility with flexible hours Integration into a highly qualified team Opportunity to travel abroad with your project Specialized training and continuous professional development Key Responsibilities: Support the design and implementation of software solutions in C for embedded systems Assist in algorithm optimization and performance testing Collaborate on software-hardware integration Contribute to code reviews and best practices Learn and work with embedded communication protocols Requirements: Minimum B.S. in Computer Science, Computer Engineering, or related field Knowledge of Python and C programming (C++ is a plus) Familiarity with bare-metal and Linux-based development environments Understanding of data structures and software architecture Desired Skills: Real-Time Operating Systems (RTOS) Familiarity or Knowledge of embedded communication protocols such as CAN, I2C, SPI is an advantage We positively value all work or study experience abroad. All positions require a high level of English (at least B2) – please send your detailed CV in English.

Dräger es una compañía internacional líder en los ámbitos de la tecnología médica y de la seguridad. Desde 1889 nuestros productos protegen y salvan vidas en hospitales, cuerpos de bomberos, servicios de rescate, entidades gubernamentales, minas e industrias de todo el mundo, con más de 15.000 empleados en todo el mundo. Principales responsabilidades Participación en la gestión de CAEs donde se interrelacionan conceptos de la prevención de riesgos como la evaluación de riesgos, planes de seguridad, medidas higiénicas, reconocimientos médicos, estudios específicos de seguridad, tanto de la compañía como de los clientes para el trabajo en sus instalaciones y asegurar la comunicación a los trabajadores implicados. Participación en la gestión de EPIS y uniformidad Participación en la gestión de formación en salud ocupacional conforme a los perfiles de riesgo de los trabajadores Participación en la gestión de residuos desde obtención de NIMAS, gestión de retiradas con proveedores autorizados a monitorización de punto limpio Participación en auditorías internas y externas confirmo ISO 9001, ISO14001 e ISO45001. Participación en la monitorización de kpis (indicadores de proceso) y posterior toma de decisiones de mejora o correctivas. Perfil del candidato/a Formación académica, estudios universitarios especializados en Prevención de Riesgos Laborales Valorable experiencia previa en otras posiciones similares Proactividad, dinamismo y motivación Nivel medio de ofimática: Excel, Word, MS Teams Ingles B2 Para optar a esta posición es imprescindible poder realizar un convenio en prácticas con una institución educativa , ya bien sea universidad o escuela de negocios. En Dräger creemos firmemente en la diversidad garantizando el cumplimiento de la legislación vigente en todos nuestros procesos de selección y poniendo en marcha medidas que nos ayudan a velar por la igualdad de oportunidades, como es el caso de nuestro complemento económico a las personas con un grado de discapacidad superior al 33%. ¿Te animas? Aplica ahora a esta posición.

Investment Banking Internship - WSO Global Talent Program Our Global Talent Program offers an unparalleled opportunity to gain hands-on experience and build a formidable resume through an immersive, 10-week virtual internship.We are actively screening thousands of top students globally to identify