AI Engineer NLP (Python & Go – Bridging ML and Platform)
ARTIDIS AG8 days ago
Zagreb, CroatiaMid Level
Responsibilities
- Design, develop, and deploy agentic NLP systems and LLM-powered workflows across Python ML pipelines and Go backend services.
- Bridge the NLP/ML and platform/backend teams by translating ML requirements into scalable backend architectures.
- Contribute to Python and Go codebases with clean interfaces and efficient system integration.
- Architect modular systems for LLM orchestration, APIs, and service communication.
- Implement evaluation, monitoring, and observability across model and service layers.
- Deliver end-to-end AI-powered features from research through production.
- Ensure reliability, performance, scalability, maintainability, and compliance in regulated medical environments.
Requirements
- Strong Python engineering skills, including advanced object-oriented programming, design patterns, SOLID principles, type-safe development, and production-grade coding practices.
- Production experience building and deploying LLM/NLP systems using technologies such as LangChain, Google ADK, or Hugging Face.
- Experience or strong proficiency in Go backend development, including API and service design.
- Strong understanding of modern NLP/LLM workflows, orchestration, and evaluation.
- Proficiency with Git and collaborative development workflows.
- Ability to operate across ML and backend engineering domains and design scalable, maintainable systems.
- Backend, frontend, or full-stack development experience beyond the core responsibilities is preferred.
Benefits
- Startup environment with an international, highly motivated team.
- Opportunities for rapid advancement, learning, knowledge sharing, and increased responsibility.
- Challenging work serving a significant purpose in healthcare and cancer care.
Categories
About ARTIDIS AG
ARTIDIS AG develops a nanotechnology-based platform for rapid tissue analysis and data-driven therapy optimization used by hospitals and biopharma teams working on solid tumors. Its offering combines atomic force microscopy measurements with a digital health layer to support diagnostics, drug discovery, and personalized treatment planning, delivered as a medical device and software service. Founded in 2018 and headquartered in Basel, Switzerland, the company is privately held.