bJobdescription /bpAre you a strategic, forward-thinking engineer who thrives at the intersection of full-stack engineering, advanced AI orchestration, and real-world scientific impact?br/If yes, this opportunity is for you! /ph3General Information /h3ulliStart Date: Asap /liliLatest Possible Start Date: /liliPlanned Duration of Employment: 12 months /liliWorkload: 100% /liliHome Office: No /liliWorking Hours: Standard /li /ulh3Tasks Responsibilities /h3ulliDesign and deploy sophisticated agentic workflows using frameworks such as LangGraph, CrewAI, or AutoGen to automate complex clinical data management tasks. /liliBuild 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. /liliApply systematic prompt engineering techniques (including Chain-of-Thought, ReAct, and Reflection) to guarantee high-fidelity outputs in a clinical context. /liliDeploy AI agents into our cloud environment (AWS) while building and enhancing scalable applications that capture, move, and prepare scientific data. /liliPartner with Data Integrity and Quality teams to ensure all agentic decisions are traceable, reproducible, and fully compliant with regulatory standards. /liliCreate reliable "Human-in-the-loop" (HITL) workflows and tool-calling agents to solve complex, highly regulated data challenges. /li /ulh3Must Haves /h3ulli5+ years' experience and a Bachelor's or advanced degree in Computer Science, Machine Learning, Engineering, or Biomedical Informatics, alongside 8+ years of experience delivering AI/ML solutions plus 3+ years in full-stack software and data engineering /liliDeep proficiency in Python and hands-on experience with AI orchestration frameworks like LangGraph, CrewAI, AutoGen, or LlamaIndex /liliSolid experience with modern data engineering (SQL/NoSQL, APIs), Vector Databases (e.g., Chroma, Pinecone), and optimizing RAG pipelines /liliStrong experience deploying AI systems on AWS, containerization (Docker, Kubernetes), CI/CD pipelines, Git, and service observability (logging, tracing, metrics) /liliA strong understanding of model reproducibility, interpretability, and validation best practices within highly regulated environments /liliExcellent problem-solving capabilities with the ability to explain complex technical concepts clearly to diverse global stakeholders /liliFluency in English /li /ulpWe thank you for your application! /ppMoutusi Chattopadhyay /p #J-18808-Ljbffr
Fullstack Engineer with advanced AI orchestration (EN speaker) Arbeitgeber: Jobbasel
Jobbasel ist ein hervorragender Arbeitgeber, der seinen Mitarbeitern in Niederdorf eine dynamische und unterstützende Arbeitsumgebung bietet. Mit flexiblen Einsatzmöglichkeiten im Notfall-/Akutbereich fördern wir nicht nur die berufliche Weiterentwicklung, sondern auch die Teamarbeit und klare Kommunikation, die für die Patientenversorgung entscheidend sind. Unsere Mitarbeiter profitieren von einem starken Zusammenhalt im Team und der Möglichkeit, in einer bedeutenden Rolle zur Lebensrettung beizutragen.
