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Bosch Home Comfort

Makes heating, cooling and hot-water equipment

Masterarbeit: KI-Agenten & Simulationsentwicklung Intern

AI Application EngineeringConfirmed live in the last 24 hours
Internship · Winter 2027Horb am Neckar, GermanyNo salary listedIn-person

About the Job

Requirements

  • The candidate must be pursuing a Master's degree in Computer Science, Artificial Intelligence/Data Science, Computational Engineering, Engineering Informatics, or a comparable technical course of study.
  • The candidate must have very good programming skills in Python and sound practical experience with LangChain and LangGraph, including state management, routing, and tool integration.
  • The candidate must have knowledge of prompt-engineering patterns, structured outputs, methods to prevent and detect hallucinations, open-source large language models such as Llama and Mistral, fine-tuning such as PEFT/LoRA, and model adaptation.
  • The candidate must have fluent German or very good written and spoken English.
  • The candidate must submit a cover letter, résumé, current enrollment certificate, transcript of records, examination regulations, and, if applicable, a valid work or residence permit.

Responsibilities

  • Analyze patterns, anti-patterns, and typical obstacles in building agent-based workflows, particularly for preventing and detecting hallucinations.
  • Develop a harness-engineering approach using LangChain and LangGraph to structure and control workflows, tool access, and verification steps.
  • Investigate the transition from cloud-based to local AI models, including pretraining and fine-tuning.
  • Evaluate performance in terms of token consumption and computational power, and ensure result quality through systematic evaluations and defined test cases.
  • Investigate from a user-experience perspective how developed simulations can be intuitively transitioned into productive use, with or without support from an AI agent.
  • Develop a practical, controllable, and transferable approach for AI-assisted simulation development.

Desired Qualifications

  • Basic knowledge of model-based simulation and engineering workflows, such as MATLAB/Simulink, Modelica, or FMU.
  • Initial experience with systematic large-language-model evaluations and benchmarking token efficiency and hardware resources, including inference latency and VRAM.
  • Interest in human-AI interaction and interface usability for productive use.
  • Experience with Git, Docker, and inference engines for local models, such as vLLM or Ollama.
  • The candidate should work analytically and solution-oriented, systematically decomposing complex engineering problems for software implementation.
  • The candidate should work in a structured, quality-conscious manner, with high standards for robust software architectures, error handling, and scientific validation (harness engineering).
  • The candidate should work independently and engage deeply with current AI developments.

About the Company

Bosch Home Comfort

Makes heating, cooling and hot-water equipment

Bosch Home Comfort makes heating, cooling and hot-water equipment for homes, commercial buildings and industrial users. Its portfolio combines electric heat pumps with gas-fired boilers and hybrid systems, giving customers different ways to control building temperatures and supply hot water. The business sells equipment through its brands' sales networks, with products adapted to regional building needs and energy requirements. Its inverter-driven heat pumps adjust compressor output to match demand rather than running constantly at full power. The Bosch business unit was formed through the merger of Bosch and Buderus heating activities in 2004 and is headquartered in Wetzlar, Germany.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Wetzlar, Germany
Founded
2004

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