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.
Location: ERL S SP 9, BLN Department: SE P DM SPOT A Snapshot of Your Day As a working student in our Direct Material procurement organizati
As a Forward Deployed Engineer Intern, you own the technical side of our AI inference deals.
Enhance our ML/LLMOps and AI Agent infrastructure for model evaluation, testing, and deployment within an AWS environment.
Enzo is a B2B PropTech and WaterTech startup revolutionizing the real estate and insurance industry with its cutting-edge IoT and AI solution, one.drop.
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
• Einarbeitung in den Einsatz von Large Language Models (LLMs) mit Agentensystemen, MCP-Schnittstellen, Retrieval-Augmented Generation (RAG)
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
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. Qualifications - 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 (AWSGCP), containerization (Docker), CIevaluation 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
Start: according to prior agreement Duration: 6 months (confirmation of mandatory internship required) We offer you - 35 hours/week with flextime - a permanent contact person who will accompany you during your internship - a modern working environment, as well as mobile working by arrangement - the opportunity to become part of our student network students +49 711 811 29451 Work #LikeABosch starts here: Apply now! #LI-DNI
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.
The Robert Bosch GmbH is looking forward to your application!
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur OriginalanzeigeKI in bestehende Software und Abläufe bringen: Agenten, RAG-Systeme, Schnittstellen, automatisierte Arbeitsketten.