Live opening · Posted 7 hours ago
The key details from the original listing.
Description supplied by the original job listing.
Dive into the world of Agentic AI and Generative AI, explore the potential of LLMs and turn your ideas into innovative AI solutions with us.
During your assignment, you will support the design and development of an agentic harness to orchestrate LLM-based agents, tools and function calling.
You will build and improve agentic workflows for internal use cases, including planning, tool use, memory and multi-agent coordination.
Additionally, you will integrate and evaluate Generative AI / LLM models and prompt strategies, including prompt engineering and guardrails.
To measure agent quality, reliability and performance, you will develop evaluation and benchmarking pipelines.
As part of your work, you will prototype proof-of-concepts and contribute to Python-based tooling, APIs and automation.
Finally, you will document results and present your findings to the team.
Education: studies in the field of Computer Science, Data Science, AI/Machine Learning, Software Engineering, Mathematics or comparable with good grades
Experience and Knowledge:
solid programming skills in Python
familiarity with Generative AI / LLMs (e.g. prompt engineering, LLM APIs, frameworks such as LangChain, LangGraph or LlamaIndex)
understanding of REST APIs and Git
basic awareness of agentic concepts (tool calling, RAG, multi-agent systems)
exposure to cloud environments (AWS/Azure/GCP), containerization (Docker), CI/CD or ML/evaluation frameworks
Personality and Working Practice: you are curious and eager to learn, approach tasks independently with a structured and analytical mindset, and enjoy collaborating with others through strong communication and team spirit
Work Routine: we offer you the possibility to work remotely part of the time by arrangement
Enthusiasm: passion for Generative AI, autonomous agents and building cutting-edge AI tooling
Languages: very good in English and beginner in German
Skills
Generative AI, Python, REST API, Git, AWS, Azure, GCP, Docker, CI/CD, Machine Learning
Employment type
Full-time
Work arrangement
Hybrid
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