Remote position
Working Student (m/f/d) - AI Engineering
at Pentadoc Gruppe
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About this role
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
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!
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
- 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
- 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
- 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!
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Real Remote Score 32/100 · see the full breakdown
Real Remote Score
32/100
Weak
- Comp
- 0/25
- Location
- 4/25
- Source
- 5/15
- Clarity
- 3/15
- Freshness
- 20/20
Why this score? ▾
- Compensation · No salary disclosed 0/25
- Location · Specific city or narrow scope 4/25
- Source · Generic aggregator 5/15
- Role clarity · Neither seniority nor stack in title 3/15
- Freshness · Posted yesterday 20/20
How the Real Remote Score is calculated → · Score appeals & corrections
Hybrid Transparency Score 0/100 · see the full breakdown
Hybrid Transparency Score
0/100
Weak
- Days
- 0/30
- Location
- 0/30
- Schedule
- 0/15
- Relocation
- 0/15
- Source
- 0/10
This role is hybrid: it expects some in-office presence. HTS grades how clearly the employer discloses the hybrid terms. How the Hybrid Transparency Score works →
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