This is a remote position.

Responsibilities

• 
  Design and evolve AI and ML architecture supporting compliance validation workflows
• 
  Design and optimise LLM-driven retrieval and validation pipelines (RAG-based systems)
• 
  Own evaluation frameworks, benchmarking strategies, and continuous improvement loops
• 
  Implement explainability and traceability mechanisms aligned with regulatory standards
• 
  Collaborate closely with ML Engineers and Backend teams on productionisation of AI components
• 
  Drive decisions around embeddings, vector databases, and retrieval strategies
• 
  Ensure reproducible, testable, and high-quality AI workflows
• 
  Support scaling the platform into an enterprise-grade AI solution
• 
  Lead technical discussions across product, engineering, and compliance stakeholders

Requirements

• 
  Strong hands-on background in Data Science and applied Machine Learning
• 
  Proven experience designing and deploying LLM-based systems in production
• 
  Practical experience with Retrieval Augmented Generation architectures
• 
  Experience with vector databases and embedding pipelines
• 
  Strong Python expertise and familiarity with modern AI frameworks
• 
  Experience designing model evaluation and validation frameworks
• 
  Ability to operate in regulated or compliance-heavy environments
• 
  Strong ownership mindset and ability to influence architectural decisions
• 
  Confident communication skills in cross-functional environments

• 
  Experience in pharmaceutical, healthcare, or other regulated industries
• 
  Exposure to explainable AI methodologies or frameworks
• 
  Experience with document intelligence and NLP-heavy pipelines
• 
  Background in enterprise-scale AI platforms rather than proof-of-concept environments

Benefits

• 
  Solid, competitive salary
• 
  Work in a multinational environment on international projects
• 
  Comprehensive healthcare
• 
  Long-term B2B contract with a stable project pipeline
• 
  Fully remote working model