Artificial Intelligence Engineer

Interiman Group

Basel

Vor Ort

CHF 150.000 - 230.000

Vollzeit

vor 25 Stunden
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Zusammenfassung

Interiman Group in Basel, Switzerland is seeking a Senior Technical Specialist focused on Agentic AI and GenAI to design and deploy autonomous AI agents in a highly innovative setting.

You will leverage LangGraph, CrewAI, AutoGen, LlamaIndex, and modern data engineering to build scalable Python-based solutions, deploy on AWS, and ensure reproducibility, security, and production-readiness across global teams.

Qualifikationen

  • 8+ years delivering AI/ML solutions.
  • Strong software and data engineering background.
  • Advanced Python development.
  • Fluent English and strong communication.

Aufgaben

  • Design and implement agentic AI workflows using LangGraph, CrewAI, AutoGen, or LlamaIndex.
  • Build and deploy multi-agent systems coordinating complex business and data processes.
  • Develop scalable Python applications and services.
  • Design and optimize RAG architectures and vector DB solutions.
  • Deploy AI solutions in AWS cloud environments.
  • Implement CI/CD pipelines and containerization with Docker and Kubernetes.
  • Ensure AI systems are reliable, traceable, reproducible, and production-ready.
  • Collaborate with international stakeholders and multidisciplinary teams.

Kenntnisse

Agentic AI
LLMs
Python
Data engineering
Cloud (AWS)
Docker
Kubernetes
CI/CD
LangGraph
LlamaIndex
Pinecone

Ausbildung

Bachelor's/Master's/PhD in CS/DS/ML/Engineering or related field

Tools

LangGraph
CrewAI
AutoGen
LlamaIndex
Pinecone
Chroma
Weaviate
Docker
Kubernetes

Jobbeschreibung

Senior Technical Specialist - Agentic AI & GenAI (Contract)

Basel, Switzerland | 100% On-site | 12-Month Contract

Are you passionate about building the next generation of AI-powered systems? We are looking for a Senior Technical Specialist with deep expertise in Agentic AI, Large Language Models (LLMs), and Data Engineering to join a highly innovative global organization operating at the forefront of science and technology.

This is an exciting opportunity to design and deploy autonomous AI agents that solve complex real-world challenges while working with cutting-edge AI frameworks, cloud technologies, and modern software engineering practices.

Your Responsibilities
  • Design and implement advanced agentic AI workflows using frameworks such as LangGraph, CrewAI, AutoGen, or LlamaIndex
  • Build and deploy multi-agent systems capable of orchestrating complex business and data processes
  • Develop scalable applications and services in Python
  • Design and optimize RAG architectures and vector database solutions
  • Deploy AI solutions in AWS cloud environments
  • Implement CI/CD pipelines and containerized applications using Docker and Kubernetes
  • Ensure AI systems are reliable, traceable, reproducible, and production-ready
  • Collaborate with international stakeholders and multidisciplinary teams
Required Skills & Experience
  • Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, Engineering, or a related field
  • 8+ years of experience delivering AI/ML solutions
  • Strong software engineering and data engineering background
  • Advanced Python development skills
  • Strong communication skills and fluent English

Hands-on experience with:

  • LangGraph, CrewAI, AutoGen, LlamaIndex, or similar frameworks
  • RAG (Retrieval-Augmented Generation)
  • Vector databases such as Pinecone, Chroma, Weaviate, or similar
  • Docker and Kubernetes
  • Git and CI/CD pipelines
Nice to Have
  • Experience in regulated industries such as Healthcare, Pharma, FinTech, or Aerospace
  • MLOps and DevOps expertise
  • Experience with enterprise-scale AI platforms
  • Knowledge of model validation, explainability, and reproducibility
  • Contributions to open-source AI projects or a GitHub portfolio
What We Offer
  • Opportunity to shape innovative GenAI and Agentic AI solutions
  • Challenging technical environment with modern AI technologies
  • Collaboration with highly skilled international teams
  • Long-term, high-impact project within a leading global organization
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