Software Engineer - Europe, Early Career

DeepInfra is looking for early-career Software Engineers (0-2 years of experience, including internships) to join our team. You’ll work closely with our experienced engineers to design, build, and scale infrastructure for serving top open-source AI models. This role is ideal for recent graduates or junior engineers who want to grow quickly while working on high-impact, real production AI systems. If you’re excited about AI/ML, have taken related courses or built projects, and want to learn how to ship things at scale - we’d love to meet you. What You’ll Do Collaborate with engineers to design, develop, and test inference solutions for state-of-the-art AI models. Implement, optimize, and evaluate AI models using Python, C++, CUDA, and NCCL (previous exposure helpful - deep expertise not required). Monitor and maintain production model-serving systems. Work on new features, fix bugs, and contribute to code reviews. Participate in daily standups, design reviews, and team discussions. Explore new AI/ML techniques and tools, and experiment with improving model performance. Try new things. Ship stuff. What You Bring Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field (completed or in final year). Strong fundamentals in data structures, algorithms, and software design. Proficiency in Python, including experience with AI/ML libraries and frameworks (e.g., NumPy, pandas, SciPy, TensorFlow, PyTorch). Experience with AI/ML through coursework, research, personal projects, full-time employment, or internships. Familiarity with AI models, Transformers and Diffusers. Experience with version control systems (e.g., Git) and agile development methodologies. Excellent problem-solving skills, with the ability to debug and optimize code. Strong communication and collaboration skills. Curiosity, willingness to learn, and desire to build real systems. Bonus Exposure to C++, CUDA, or AI inference. Contributions to open-source ML projects. Why DeepInfra Work on cutting-edge AI model serving - the systems that power the next generation of LLMs and multimodal models. Small team, huge impact: your work ships directly to customers. Opportunity to learn from engineers building high-performance inference at scale. Fast-paced environment with ownership, autonomy, and end-to-end responsibility.