Required skills
- AI Engineering
- Conversational AI
- LLM
- Multi-Agent Systems
- Google Cloud Platform
- BigQuery
- SQL
- Python
- REST APIs
- Document Processing
- RAG
Languages: German
Job description
We are looking for an experienced AI Engineer / Conversational AI Consultant to further develop an LLM-based multi-agent chatbot for the Swiss pension sector, built on Google Agent Development Kit (ADK) and Google Cloud Platform (GCP).
Project overview
Description
For our client, we are looking for an experienced AI Engineer / Conversational AI Consultant to further develop an LLM-based multi-agent chatbot in the area of pensions. The solution is based on the Google Agent Development Kit (ADK) and the Google Cloud Platform (GCP).
- Further development of an existing prototype into a production-ready agent for retrieving user-specific documents.
- Integration of a document API or an ECM system, as well as embedding individual links to regulations, pension plans, and pension fund-specific pages.
- Implementation of business logic based on the technical documentation.
- Development of a Portal Referral Agent that guides users specifically to suitable functions and content in the pension portal.
- If necessary, processing of portal HTML, taking into account the individual user context.
- Orchestration of agents with Google ADK, as well as optimization of roles, handovers, and routing logic.
- Expansion of the test environment with personas and synthetic conversations.
- Analysis and evaluation of conversations and results using BigQuery and SQL.
- Optional: Development of further agents for general questions about the Swiss pension system and specific pension funds.
Requirements
- Experience as an AI Engineer or Conversational AI Developer with LLM-based chatbots, ideally also with multi-agent systems.
- Good knowledge of the Google Cloud Platform, especially BigQuery, as well as SQL.
- Very good Python skills and experience with REST APIs.
- Experience with document processing in PDF and HTML, as well as Retrieval-Augmented Generation (RAG) is an advantage.
- Structured, independent way of working and enjoyment of close collaboration with business and IT.
- Very good German skills, at least level B2; good English skills are an advantage.
Project details
- Start: 2026-10-01
- Duration: 3 Monate ++
- Location: Zürich, CH
- Languages: German
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