Fullstack Engineer with advanced AI orchestration (EN speaker)

Jobbasel; Basel; Vor Ort; CHF 140.000 - 180.000; Vollzeit

Zusammenfassung

Jobbasel seeks a senior engineer to lead end-to-end AI orchestration for clinical data tasks, combining full-stack software with advanced AI workflows. You will design, deploy, and maintain agentic systems in a compliant cloud environment, collaborating with data integrity teams and HITL processes.

The role demands 5+ years in AI/ML and 3+ years in full-stack engineering, with strong Python skills and experience deploying on AWS. Basel-based, on-site work with 100% workload and standard hours.

Qualifikationen

• 5+ years in CS/ML/engineering with 8+ years delivering AI/ML solutions.
• 3+ years in full-stack software and data engineering.
• Fluency in English.

Aufgaben

• Design and deploy agentic workflows for clinical data management.
• Build collaboration systems with planners, validators, and reviewers.
• Apply prompt engineering to ensure high-fidelity outputs in clinical contexts.
• Deploy AI agents in AWS and build scalable data pipelines.
• Ensure traceability and regulatory compliance with data integrity teams.
• Create HITL workflows and tool-calling agents for regulated data.

Kenntnisse

Full-stack software

AI/ML delivery

Data engineering

Regulatory compliance

English fluency

Ausbildung

Bachelor's or higher in CS/ML/Engineering/Bioinformatics

Tools

LangGraph

CrewAI

AutoGen

LlamaIndex

AWS

Docker

Kubernetes

SQL/NoSQL

Pinecone

Chroma

Jobbeschreibung

Jobdescription

Are you a strategic, forward-thinking engineer who thrives at the intersection of full-stack engineering, advanced AI orchestration, and real-world scientific impact?
If yes, this opportunity is for you!

General Information

• Start Date: Asap
• Latest Possible Start Date: 04.01.2027
• Planned Duration of Employment: 12 months
• Workload: 100%
• Home Office: No
• Working Hours: Standard

Tasks & 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.

Must Haves

• 5+ 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
• Deep proficiency in Python and hands-on experience with AI orchestration frameworks like LangGraph, CrewAI, AutoGen, or LlamaIndex
• 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
• Excellent problem-solving capabilities with the ability to explain complex technical concepts clearly to diverse global stakeholders
• Fluency in English

We thank you for your application!

Moutusi Chattopadhyay