ARTIDIS AG is a clinical-stage health-tech start-up founded in Basel, Switzerland, that has developed the first nanomechanical biomarker for cancer diagnosis and treatment optimization. The ARTIDIS nanotechnology platform integrates various types of clinical data into the ARTIDISNET digital platform, enabling physicians to significantly shorten the current diagnostic process and benefit both patients and the healthcare system. ARTIDIS enables professionals to design personalized cancer treatment plans tailored to individual patients' needs and desired outcomes.
Job Purpose
As an AI Engineer NLP, you will design, develop, and deploy robust NLP systems for both medical devices and cloud environments. This role sits at the intersection of our NLP/ML team (Python) and platform/backend team (Go), requiring strong engineering capabilities across both domains to build scalable, production-grade AI systems.
Key Responsibilities
Design, develop, and deploy agentic NLP systems and LLM-powered workflows across Python-based ML pipelines and Go-based backend services
Act as a bridge between NLP and platform teams, translating ML requirements into scalable backend architectures and vice versa
Contribute to both Python (ML/NLP) and Go (backend/platform) codebases, ensuring clean interfaces and efficient system integration
Architect modular systems for LLM orchestration, APIs, and service communication (e.g., microservices, RPC, REST)
Ensure reliability, performance, and compliance of AI systems in regulated medical environments
Implement evaluation, monitoring, and observability across the full stack (model + service layer)
Collaborate cross-functionally to deliver end-to-end AI-powered features from research to production
Core Qualifications
Strong Python engineering skills, including:
Advanced OOP, design patterns, and SOLID principles
Experience with type-safe development (type hints, mypy, pydantic)
Writing tested, maintainable, and production-grade code
Experience building and deploying LLM/NLP systems in production (e.g., LangChain, Google ADK, HuggingFace)
Experience or strong proficiency in backend development with Go, including API/service design
Strong understanding of modern NLP/LLM workflows, including orchestration and evaluation
Being native with Git version control and collaborative development workflows
Ability to design systems with long-term scalability and maintainability in mind
Nice to Have
Experience in backend, frontend, or full-stack development beyond core responsibilities
What We Value
Ability to operate effectively across ML and backend engineering domains
Engineering rigor applied to machine learning systems
Clean, readable, and scalable code across languages
Ownership mindset and proactive problem solving
Ability to work independently while contributing to a collaborative environment
Working Conditions
The environment is a typical start-up with an intrinsically motivated international team. Our company is an excellent place for rapid advancement and offers a promising opportunity to learn and share know-how in a very agile environment. The position requires the employee to go the extra mile when needed. We are looking for a team player who appreciates direct communication. The effort is rewarded with challenging tasks, the opportunity to take responsibility, a highly driven team, and work that serves a significant purpose. The job position comes with a competitive salary and a bonus for outstanding performance.