Description review
Working Student (m/f/d) - AI Engineering
Pentadoc Gruppe · Würzburg · back to the listing
HR standards
72/100
solid
Title ↔ description
81/100
solid
Reads as
Machine Learning Engineer
98% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
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What the listing never says
- 20 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
At 5Plus (part of Pentadoc Group), we build production-grade AI systems that solve real operational problems for our customers.
As a Working Student - AI Engineering, you will help design, build, and deploy AI applications - from LLM-powered workflows (e.g., intelligent document processing) to agentic systems that integrate deeply into our customers' business processes.
You'll work hands-on alongside experienced engineers and take on real responsibility from day one. This role is hybrid (remote + Würzburg) and fits flexibly around your studies.
Your daily business
• Build and ship features for AI systems, from prototype to production
• Develop LLM-powered applications (incl. RAG, tool usage, validations) with a focus on reliability and cost-efficiency
• Contribute to agentic systems (e.g., planning, tool orchestration, multi-step workflows) and their integrations into customers' systems
• Set up evaluations – test datasets, metrics, benchmarks, and monitoring
• Help optimize systems across latency, cost, and quality
• Work with customers and the team to turn real-world problems into concrete technical solutions
Your profile
• Enrolled in Computer Science, Data Science, AI, or a related field
• Solid Python skills
• First hands-on experience with LLMs or ML tooling - from university, side projects, or internships
• Curiosity about what makes LLM applications reliable, safe, and scalable
• Ability to work independently and take ownership of your tasks
Some bonus points to score
• Experience with agentic architectures (planning, memory, multi-agent coordination)
• Experience with cloud infrastructure (AWS, Azure, etc.)
• Proficient in German (written and spoken)
• Own projects on GitHub, open-source contributions, or technical writing
Some of your benefits at 5Plus
• Real ownership: Work on AI solutions that go live quickly
• Learn from a small, experienced team with fast decision-making
• Flexible working hours that fit your study schedule, and freedom to choose your workplace
• Learning budget and support for conferences
• Option to write your Bachelor's or Master's thesis with us
To plan an initial conversation quickly, please make sure your application contains all relevant documentation and information, you'd like to share with us.
We look forward to meeting you!Find Jobs in Germany on Arbeitnow
As a Working Student - AI Engineering, you will help design, build, and deploy AI applications - from LLM-powered workflows (e.g., intelligent document processing) to agentic systems that integrate deeply into our customers' business processes.
You'll work hands-on alongside experienced engineers and take on real responsibility from day one. This role is hybrid (remote + Würzburg) and fits flexibly around your studies.
Your daily business
• Build and ship features for AI systems, from prototype to production
• Develop LLM-powered applications (incl. RAG, tool usage, validations) with a focus on reliability and cost-efficiency
• Contribute to agentic systems (e.g., planning, tool orchestration, multi-step workflows) and their integrations into customers' systems
• Set up evaluations – test datasets, metrics, benchmarks, and monitoring
• Help optimize systems across latency, cost, and quality
• Work with customers and the team to turn real-world problems into concrete technical solutions
Your profile
• Enrolled in Computer Science, Data Science, AI, or a related field
• Solid Python skills
• First hands-on experience with LLMs or ML tooling - from university, side projects, or internships
• Curiosity about what makes LLM applications reliable, safe, and scalable
• Ability to work independently and take ownership of your tasks
Some bonus points to score
• Experience with agentic architectures (planning, memory, multi-agent coordination)
• Experience with cloud infrastructure (AWS, Azure, etc.)
• Proficient in German (written and spoken)
• Own projects on GitHub, open-source contributions, or technical writing
Some of your benefits at 5Plus
• Real ownership: Work on AI solutions that go live quickly
• Learn from a small, experienced team with fast decision-making
• Flexible working hours that fit your study schedule, and freedom to choose your workplace
• Learning budget and support for conferences
• Option to write your Bachelor's or Master's thesis with us
To plan an initial conversation quickly, please make sure your application contains all relevant documentation and information, you'd like to share with us.
We look forward to meeting you!Find Jobs in Germany on Arbeitnow