Job Overview

Posted: –

Salary: CHF 120,000 – 130,000 per year

Responsibilities

• Design and implement RAG pipelines with semantic search, vector databases, and multi‑agent orchestration.
• Integrate multiple LLM providers (e.g., Azure OpenAI, AWS Bedrock) and develop prompt engineering strategies.
• Build REST APIs and contribute to multi‑tenant SaaS architecture design and deployment decisions.
• Implement monitoring, observability, and security/compliance requirements for AI components in a regulated industry.

Qualifications

• 3+ years of software engineering experience with strong Python backend development.
• Hands‑on experience building and shipping LLM‑powered applications in production environments.
• Practical experience with RAG systems (Retrieval‑Augmented Generation) and agent‑based multi‑step AI workflows.
• Experience with cloud platforms, includi...