Working Student – AI Solutions Architecture, Generative AI, Data Platforms

Job not on LinkedIn

🔥 4 minutes ago

🇩🇪 Germany – Remote

⏱ Part Time

⚪️ Entry-level

💻 Solutions Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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datavent.io

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2024

🤝 B2B

🤖 Artificial Intelligence

💼 Consulting

B2B • Artificial Intelligence • Consulting

datavent. io is a B2B data engineering and platform consulting firm that builds cloud-native, AI-ready data platforms and lakehouse architectures for analytics and production AI. They deliver end-to-end services — architecture, ingestion, transformation, modeling, MLOps/RAG pipelines, vector stores/feature stores, and ongoing platform stewardship — on customers' clouds and stacks (AWS, GCP, Azure, Snowflake, Databricks or on-prem) with a no-vendor-lock-in approach. The company emphasizes production outcomes (ship production pipelines, not prototypes), rapid delivery, and integrations across many data sources for enterprises in industries like banking, telecom, manufacturing and B2B SaaS.

📋 Description

• Design end-to-end generative AI architectures and data platforms supporting remote engineering • Ensure applications incorporate relevant data, useful tools, and measurable quality standards alongside large language models • Connect operational systems to reliable data pipelines and robust software foundations • Collaborate within a software development environment to shape technical execution • Take on core architecture for ongoing generative AI initiatives • Map data foundations and connect operational sources to language model workflows • Collaborate directly on system reliability and data flow • Ship robust technical frameworks that make AI applications measurable and robust

🎯 Requirements

• Expertise in designing generative AI solutions and data platforms • Practical experience building software systems powered by large language models • Strong command of Python, SQL, and modern data engineering principles • Comfort operating independently • Working student / Werkstudent status • Availability for 15–20 hours per week

🏖️ Benefits

• 3-month probation period • 20 days of annual leave • Remote work within Germany • 15–20 hours per week