Senior GenAI Engineer — RAG & Production AI Platforms

Arbeitnow; Zürich; On-site; CHF 150,000 - 210,000; Full time

Benefits offered by this job

Innovative AI projects

Collaborative engineering culture

Growth opportunities

Job summary

Arbeitnow is seeking a Senior Data Scientist in Zurich to design and deliver enterprise GenAI solutions with a focus on Retrieval-Augmented Generation. You will work in a DevOps-oriented environment, building scalable AI applications on modern cloud platforms.

Responsibilities include deploying production GenAI/RAG systems, building data pipelines, and collaborating with cross-functional teams to ensure reliable AI platforms and CI/CD adoption.

Qualifications

• 5–8 years of experience in Data Science, AI Engineering, or related roles.
• Strong expertise in Generative AI, RAG architectures, prompt engineering, and context management.
• Experience with LangChain, LangFuse, NeMo Guardrails, Spring AI, and Azure AI services.
• Proficient in Python and Java, plus APIs, CI/CD, OpenTelemetry, and cloud-native deployments on Azure.
• Fluent German (C2) and strong English communication skills (B2 or higher).

Responsibilities

• Develop and deploy production-ready GenAI and RAG solutions using modern AI engineering practices.
• Build scalable APIs, data pipelines, and integrations for AI-powered enterprise applications.
• Collaborate with Data Engineers, Cloud Engineers, DevOps teams, and business stakeholders to deliver operational AI solutions.
• Monitor, optimize, and fine-tune machine learning and GenAI applications in production environments.
• Support CI/CD processes, automated deployments, observability, and AI platform reliability.

Skills

Generative AI

RAG architectures

Prompt engineering

Context management

Python

Java

Cloud platforms

English

German (C2)

Tools

LangChain

LangFuse

NeMo Guardrails

Spring AI

Azure AI services

Job description

Arbeitnow is seeking a Senior Data Scientist in Zurich to design and deliver enterprise GenAI solutions with a focus on Retrieval-Augmented Generation. You will work in a DevOps-oriented environment, building scalable AI applications on modern cloud platforms.

Responsibilities include deploying production GenAI/RAG systems, building data pipelines, and collaborating with cross-functional teams to ensure reliable AI platforms and CI/CD adoption.