Working Student AI Engineer – LLMs, RAG, AI Agents

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🔥 0 minutes ago

🇩🇪 Germany – Remote

⏱ Part Time

⚪️ Entry-level

🤖 AI Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 15%

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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

• Develop Python services and integrations connecting language models to enterprise data, APIs and tools • Implement document ingestion, chunking, embeddings and retrieval with inspectable source references • Build structured extraction and validation workflows for complex documents and downstream business systems • Implement defined agent steps, including tool calls, permission checks, error handling and human approval • Maintain evaluation cases and compare retrieval quality, answer usefulness, latency and cost • Contribute automated tests, deployment configuration, logging and documentation through reviewed pull requests • Collaborate with colleagues on implementation, review and operational quality • Contribute to document intelligence, knowledge assistants, governed analytics or AI agents

🎯 Requirements

• Current university enrolment in computer science, AI, data science or a related technical discipline • Strong practical Python skills • Evidence of software delivered for actual users, including responsibility for testing and deployment • Hands-on experience with an LLM application involving retrieval, tool use or structured outputs • Ability to explain the limitations of an LLM application • Comfort working with APIs, JSON, Git and code review • Ability to take a defined task from an agreed requirement to a maintainable implementation • Clear English communication • Evidence-based approach to debugging and evaluating system behaviour • Experience with Amazon Bedrock, Anthropic Claude, FastAPI, Docker, vector databases or self-hosted models is valuable

🏖️ Benefits

• 3-month probation period • 20 days of annual leave • Part-time scope planned around studies • Direct access to experienced engineers and founders • Clear ownership and thoughtful code review • Real delivery work • Flexible work arrangement around university studies

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