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