Company Description Campus Ready is revolutionizing exam preparation for students with our AI-powered platform. Located at the Founders Space in Neu-Ulm, Germany, we offer tailored test preparation, feedback-based learning, and advanced practice for students across multiple content formats. We are funded by the EXIST Program, offered by the Federal Ministry for Economic Affairs and Climate Action of Germany (BMWK). Role Description As an App Developer at Campus Ready, you’ll play a key role in designing and developing a world-class mobile application used by thousands of students. You’ll collaborate with product designers, backend engineers, and founders to craft experiences that are intuitive, fast, and impactful. Key Responsibilities: Build and maintain mobile applications using React Native (iOS & Android). Integrate RESTful APIs and backend services written in Go (Golang). Write clean, maintainable, and scalable code. Participate in code reviews, testing, and deployment pipelines. Collaborate closely with the design and product teams to turn ideas into elegant features. Take ownership of feature development from concept to production. What We’re Looking For Important : We're hiring for both freshers and experienced candidates who are passionate about building apps that matter. Requirements: Solid understanding of React Native and building cross-platform mobile apps. Familiarity with or interest in backend development using Go (Golang). Understanding of mobile app lifecycles, performance optimization, and debugging. Comfortable working with REST APIs and modern version control tools (Git). Ability to work autonomously in a remote environment. Strong problem-solving skills and attention to detail. A portfolio or GitHub showing previous projects is a plus (for freshers). Perks and Benefits: Attractive remuneration (competitive with market, based on experience and potential). Fully remote work – we’re a truly distributed team. Flexible working hours – we value output over clocking in. Health & wellness perks, learning stipends, and regular team retreats. Opportunity to work closely with passionate founders and contribute from Day 1. Be a core part of a fast-growing, high-impact startup with a mission to transform education. We look forward to receiving your application! Show more Show less

Role Overview We're looking for a talented Machine Learning Engineer with 3+ years of experience to join our growing AI team. This role will play a central part in developing our real-time feedback engine, integrating and fine-tuning LLMs, and spearheading the training and deployment of custom and small language models (SLMs). Key Responsibilities Build and deploy scalable real-time inference systems using FastAPI and AWS. Fine-tune and integrate large language models (LLMs) like Claude 3.5 Sonnet via Amazon Bedrock. Lead or contribute to the training, fine-tuning, and evaluation of proprietary Small Language Models (SLMs). Build ML pipelines for preprocessing multimodal data (audio, transcript, slides). Collaborate with backend, design, and product teams to bring intelligent features into production. Optimize models for speed, efficiency, and edge/cloud deployment. Contribute to MLOps infrastructure for versioning, deployment, and monitoring of models. Required Qualifications 3+ years of experience in applied ML, including model deployment and training. Strong proficiency in Python, PyTorch, Transformers, and model training frameworks. Experience deploying APIs using FastAPI and integrating models in production. Experience fine-tuning LLMs (e.g., OpenAI, Claude, Mistral) and SLMs for specific downstream tasks. Familiarity with AWS services (S3, Bedrock, Lambda, SageMaker). Strong grasp of data pipelines, performance metrics, and model evaluation. Comfort working with multimodal datasets (text, audio, visual). Bonus Points Experience with Whisper, TTS systems (e.g., Polly), or audio signal processing. Background in building or fine-tuning SLMs for performance-constrained environments. Familiarity with MLOps tooling (MLflow, Weights & Biases, DVC). Experience with Redis, WebSockets, or streaming data systems. Perks and Benefits Attractive remuneration (competitive with market, based on experience and potential). Fully remote work – we’re a truly distributed team. Flexible working hours – we value output over clocking in. Health & wellness perks, learning stipends, and regular team retreats. Opportunity to work closely with passionate founders and contribute from Day 1. Be a core part of a fast-growing, high-impact startup with a mission to transform education. We look forward to receiving your application! Show more Show less