Participate in the identification of opportunities for AI-driven automation and process optimization
Architecture, develop, and implement AI/ML solutions for Clinical Data Management and operational processes using LLMs, RAG, traditional ML techniques, and rule-based approaches
Define and execute strategies for model development, testing, validation, benchmarking, and training data preparation
Integrate AI solutions into existing desktop and web-based software platforms (primarily C#/.NET applications)
Collaborate with cross-functional stakeholders to ensure alignment with regulatory, quality, and operational requirements
Prepare and maintain technical documentation related to software applications, AI models, and development processes
Stay current with advancements in AI, machine learning, and software engineering technologies, and proactively evaluate their applicability within the organization

Bachelor's degree in IT or an equivalent combination of education, training, and experience
Minimum 5 years of practical experience in AI/ML/NN/computer vision solution development
Minimum 2 years of experience building Generative AI and LLM-based solutions
Proficiency in Python; SQL (MS SQL) and vector (Qdrant) databases; document-centric AI workflows
Experience with AI validation, explainability, hallucination mitigation, benchmarking, and confidence scoring approaches
Understanding AI-agent orchestration (MCP Server)
Experience with APIs, CI/CD workflows, Git, Azure DevOps, and production deployment practices
Understanding of SDLC and MLOP

Lead Software Developer, AI Solutions

Key skills