Required skills
- LLM
- GenAI
- LangGraph
- LangChain
- Agentic Systems
- Tool Calling
- State Management
- RAG
- LLM Evaluation
- Python
- APIs
- Web Crawling
Languages: German
Job description
Develop LLM and agent logic for a new AI-based solution, focusing on agentic workflows, data processing, and integration with existing systems.
Responsibilities
Profile
- Development of LLM and agent logic for a new AI-based solution
- Conception and orchestration of agentic workflows with LangGraph, LangChain or comparable frameworks
- Implementation of web crawling, data preparation and retrieval
- Work with Tool Calling, State Management, RAG and LLM evaluation
- Close collaboration with the Backend Engineer on A2A integration into an existing chat assistant
- Practical experience with production-level LLM and GenAI solutions
- Sound experience with LangGraph, LangChain and agentic systems
- Knowledge of Tool Calling, State Management, RAG and LLM evaluation
- Very good knowledge of Python and APIs
- Experience with web crawling and data preparation
Project details
- Start: sofort
- Location: Zürich, CH, CH
- Languages: German
Source notes
- Work on a concrete GenAI and Agentic AI use case in an enterprise environment
- Technically versatile task involving LLMs, AI Agents, RAG, Retrieval, Web Crawling and Integration
Indexed by 9am's meta-search. You are a job provider? Claim or manage this listing
Found on Hays, Hays Austria, Hays CH