Senior Technical Specialist

# Senior Technical Specialist # (m/f/d) Freelance/temporary employment for a project Basel Stadt Start date: asap Reference number: 895664/1 ### Responsibilities ### * Design and deploy sophisticated agentic workflows using frameworks such as LangGraph, CrewAI, or AutoGen to automate complex clinical data management tasks * Build collaboration systems where specialised agents (e.g., Planner, Validator, and Protocol Reviewer) resolve end-to-end data challenges through high-quality, testable code and CI/CD pipelines * Apply systematic prompt engineering techniques (including Chain-of-Thought, ReAct, and Reflection) to guarantee high-fidelity outputs in a clinical context * Deploy AI agents into our cloud environment (AWS) while building and enhancing scalable applications that capture, move, and prepare scientific data * Partner with Data Integrity and Quality teams to ensure all agentic decisions are traceable, reproducible, and fully compliant with regulatory standards * Create reliable "Human-in-the-loop" (HITL) workflows and tool-calling agents to solve complex, highly regulated data challenges ### Profile ### * Experience and a Bachelor-s or advanced degree in Computer Science, Machine Learning, Engineering, or Biomedical Informatics * Experience delivering AI/ML solutions as well as in full-stack software and data engineering * Deep proficiency in Python and hands-on experience with AI orchestration frameworks like LangGraph, CrewAI, AutoGen, or LlamaIndex; experience with other programming languages (e.g., C\#, Java, JavaScript, R, RShiny) is considered an advantage * Solid experience with modern data engineering (SQL/NoSQL, APIs), Vector Databases (e.g., Chroma, Pinecone), and optimizing RAG pipelines * Strong experience deploying AI systems on AWS, containerization (Docker, Kubernetes), CI/CD pipelines, Git, and service observability (logging, tracing, metrics) * A strong understanding of model reproducibility, interpretability, and validation best practices within highly regulated environments * Fluency in English * Nice to have: experience in a highly regulated industry such as Healthcare, FinTech, or Aerospace OR understanding of clinical trial life cycles and data standards * Nice to have: familiarity with monitoring tools for system performance, workflow analytics, and MLOps/DevOps best practices * Nice to have: experience to architect scalable solutions in complex environments with multiple existing system integrations ### Benefits ### * Fascinating, innovative environment in an international atmosphere * A very renowned company