Level

Valeo

Technical Trainee - AI & LLM Automation

Valeo is hiring a Technical Trainee - AI & LLM Automation for a remote role open to applicants in Czechia. Level rates it ; you can apply on Valeo.

Level's read on this job

  • On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • This is listed as a remote role.
  • The posting mentions LangChain, LlamaIndex and Python among its tools and skills.
  • Valeo has 1,000+ other open roles on Level.
  • Posted in the last few days.

AI in this role

Develop AI models and LLM-based solutions to automate system testing, analyze spending, and generate simulations.

langchainllamaindexpythonpandasnumpy
prompt-engineeringlarge-language-modelsdata-analysissystem-testingautomation

Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.

We are looking for a motivated and tech-savvy Working Student to join our team and help us push the boundaries of AI integration in our internal processes. You will play a key role in leveraging Large Language Models (LLMs) and AI-driven analytics to automate complex systems and generate actionable insights. This is a hands-on role where your contributions will directly impact our operational efficiency and technical roadmap.



YOUR CHALLENGES:


  • AI-Driven Spending Analysis
    • Develop and refine AI models to analyze expenditure patterns.
    • Transform raw financial data into structured insights to optimize budget allocation.
  • System Test Automation (Sys.5)
    • Implement LLM-based solutions to automate the sys.5 system testing phase.
    • Design prompts and workflows to identify edge cases and ensure robust system performance.
  • LLM-Powered Simulation Generation
    • Create and manage synthetic data or environment simulations using LLMs.
    • Develop scripts to generate complex simulation scenarios that aid in product development and testing.


LET'S TALK ABOUT YOU…


  • Academic Background: Currently enrolled in a Bachelor’s or Master’s program in Computer Science, Data Science, Artificial Intelligence, or a related technical field.
  • Technical Skills: * Solid understanding of Large Language Models (LLMs) and Prompt Engineering.
    • Proficiency in Python (specifically libraries like Pandas, NumPy, or frameworks like LangChain/LlamaIndex).
    • Experience with data analysis and visualization.
  • Mindset: You are a problem-solver who enjoys working at the intersection of "traditional" systems and cutting-edge AI.
  • Languages: English/German


WE OFFER


  • 1 year part-time contract, Paid Vacation entitlement for DPČ
  • Flexible working hours and home office possibility
  • Meal vouchers and leisure contribution 
  • Possibility of Multisport card
  • Fitness room and external sports ground (football, basketball, volleyball) on site
  • Company canteen offering a selection of international cuisine
  • Easy access to work by Prague metro line A, car parking for all employees
  • Personal development program through technical trainings and language courses
  • Regular company team building events
  • Outdoor relax zone with a barbecue space for team building
  • Possibility to see the whole development process in one place from an idea (customer requirement) to a product testing and manufacturing

Job:

R&D Trainee/Apprentice/VIE

Organization:

Site R&D

Schedule:

Part time

Employee Status:

Trainee (Fixed Term) (Trainee)

Job Type:

Employment agreement (DPC) of non own employees

Job Posting Date:

2026-10-26

Join Us !
Being part of our team, you will join:
- one of the largest global innovative companies, with more than 20,000 engineers working in Research & Development
- a multi-cultural environment that values diversity and international collaboration
- more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
- a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development

More information on Valeo: https://www.valeo.com

How we rate this

Technical Trainee - AI & LLM Automation at Valeo rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringLarge Language ModelsData AnalysisSystem TestingAutomationLangChainLlamaIndexPython

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. Tell me about a project where large language models was part of your work. What did you do?
  3. Tell me about a project where data analysis was part of your work. What did you do?
  4. Tell me about a project where system testing was part of your work. What did you do?
  5. Tell me about a project where automation was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Prompt engineering, Large Language Models, Data Analysis, System Testing, and Automation. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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