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Working Student – AI Solutions Architecture (Generative AI & Data Platforms)

Role overview

Qualifications

  • 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

Responsibilities

  • 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

Key facts

Hard skills

Other skills

  • Collaboration

About the company

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datavent.io

  • Data Analytics & Business Intelligence
  • TPE
  • 2–10
We start with one use case, fixed in scope, and take it live in 6–8 weeks through our Production Sprint. From there we extend it into a production data and AI platform and keep that platform running. What we do: • Production Sprint: one AI use case in production in 6–8 weeks • Data & AI Platform Build: lakehouse and warehouse modernisation, ETL/ELT and migration from legacy systems • Production AI Systems: RAG, document intelligence and AI agents on governed enterprise data • On-prem RAG & AI Agents: open-source LLMs on servers in your own environment • Managed Data & AI Platform: ongoing operation with engineer-reviewed changes • Intelligent DataOps: a self-healing pipeline agent that diagnoses failures and proposes each fix as a pull request for an engineer to approve Selected results: • Pipeline issue resolution cut from 6–8 hours to 30 minutes • New-customer onboarding on a multi-tenant analytics platform cut from four weeks to five minutes • 70% less manual documentation work with document intelligence on an on-prem GPU server Everything we build runs in your cloud account or data centre, on your stack, with no proprietary lock-in. Your team can own and operate it. AgentixLake is an AWS Partner and an Anthropic Certified Solutions Partner, serving clients in the DACH and Gulf regions.

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Job description

AgentixLake GmbH · Hamburg, Germany
Remote within Germany · 15–20 hours per week · Working student / Werkstudent

About AgentixLake
https://www.linkedin.com/company/agentixlake/

Architecting reliable generative AI systems

AgentixLake GmbH builds the data foundations that make AI useful, transforming raw operational inputs into trustworthy components for large language model applications. As an AI Solutions Architect, you will design the data platforms and generative AI architectures that turn experimental concepts into dependable systems people can rely on.

Your responsibilities

  • 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.

What you bring

  • 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.

Your first months at AgentixLake GmbH

In your initial months, you will take on the core architecture for ongoing generative AI initiatives, mapping out data foundations and connecting operational sources to language model workflows. You will collaborate directly on system reliability and data flow, shipping robust technical frameworks that make AI applications measurable and robust.

If you match most of these requirements and bring a strong background in data platforms and generative AI, we encourage you to apply.

We welcome applicants of all backgrounds. You do not need to meet every listed requirement to apply.

Follow our journey

Follow AgentixLake on LinkedIn https://www.linkedin.com/company/agentixlake/ for updates, engineering insights, and future opportunities.

Learn more at https://agentixlake.com/

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