Senior Generative AI Engineer

SwissPeak Partners GmbH; Rüti (ZH); On-site; CHF 140,000 - 190,000; Full time

Job summary

SwissPeak Partners GmbH is seeking an experienced Senior Data Scientist to design and deliver enterprise-grade Generative AI solutions with a strong RAG focus. You will work in a collaborative DevOps environment, building scalable AI applications on modern cloud platforms.

Responsibilities include deploying GenAI solutions, building data pipelines, and collaborating with cross-functional teams to ensure reliable AI systems in production.

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.
• Solid skills in Python and Java, plus experience with APIs, CI/CD, OpenTelemetry, and cloud-native deployments on Azure.
• Fluent German (C2 level) 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

German (C2)

English (B2+)

Python

Java

APIs

CI/CD

OpenTelemetry

Tools

LangChain

LangFuse

NeMo Guardrails

Spring AI

Azure AI services

Job description

Occupancy: 100% /Start date:01.06.2026/Initial duration:12 months

We are looking for an experienced Senior Data Scientist to help design and deliver enterprise-grade Generative AI solutions with a strong focus on Retrieval-Augmented Generation (RAG). You will work in a collaborative DevOps environment, building scalable AI applications and driving innovation across modern cloud platforms.

Responsibilities & Tasks

• 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.

Requirements & 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 tools and frameworks such as LangChain, LangFuse, NeMo Guardrails, Spring AI, and Azure AI services.

• Solid skills in Python and Java, plus experience with APIs, CI/CD, OpenTelemetry, and cloud-native deployments on Azure.

• Fluent German (C2 level) and strong English communication skills (B2 or higher).

Benefits & Culture

• Work on innovative AI and cloud projects using modern technologies and scalable architectures.

• Join a collaborative, cross-functional engineering environment focused on continuous learning and technical excellence.

• Long-term project opportunity with strong potential for professional growth and impactful work.