AI Developer (on-site)

Natuvion Americas is looking for a hands-on AI Developer to help improve our platform, automate processes, and develop practical AI-powered solutions for data migration and integration. This is a great opportunity for someone passionate about AI and software development who enjoys solving problems, experimenting with new technologies, and bringing fresh ideas to the team.

Candidates can bring experience gained through coursework, personal projects, internships, or previous professional roles. Natuvion helps organizations move, transform, and manage their data with confidence. Our team develops innovative solutions to make complex data migration processes more efficient, reliable, and secure.

Responsibilities

Build and maintain automated API integrations and data pipelines. Develop and improve web applications using modern frontend and backend technologies. Work with AI and Large Language Model (LLM) APIs to build AI-powered solutions. Support database changes, code merges, and deployments across environments. Troubleshoot bugs, investigate errors, and improve application security.

Contribute to UI/UX improvements to make our platform more intuitive and user-friendly. Explore new technologies and suggest improvements to tools and workflows. Collaborate with the team to test, evaluate, and improve AI-generated outputs.

Education

Bachelor's or Master's degree in Computer Science, Software Engineering, IT Security, or a related technical field. Candidates currently pursuing a degree, recent graduates, and individuals with equivalent practical experience are welcome to apply. Technical Skills Experience with JavaScript or TypeScript, HTML, and CSS.

Familiarity with React or Next.js and backend development using Node.js or Python. Experience consuming or building REST APIs, working with JSON, and implementing authentication. Understanding of Git, GitHub, databases, debugging, and software testing. Knowledge of web security fundamentals, including OWASP Top 10, secure credential management, and access control.

Familiarity with Python and AI/data libraries such as pandas, scikit-learn, PyTorch, or Hugging Face. Understanding of machine learning and LLMs, with hands-on experience building AI-powered applications. AI Experience Familiarity with LLM APIs, prompt engineering, structured outputs, or tool calling. Experience evaluating AI outputs and understanding security risks such as prompt injection and data leakage.

A completed AI-related project, thesis, internship, or hackathon project. Exposure to Retrieval-Augmented Generation (RAG), AI agents, or the Model Context Protocol (MCP) is a plus. Ways of Working Strong problem-solving skills and attention to detail. A testing mindset and willingness to learn. Good communication skills and a collaborative attitude.

Fluent English; German is a plus.