Senior Technical Specialist

(m/f/d)

Freelance/temporary employment for a project

Basel Stadt

Start date: asap

Reference number: 895664/1

• 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

• 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

• Fascinating, innovative environment in an international atmosphere
• A very renowned company