Working Student AI Engineer – LLMs, RAG, AI Agents

datavent.io

. Develop Python services and integrations connecting language models to enterprise data, APIs and tools .

Posted 10/31/2026part-timeRemote • GermanyEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong practical Python skills and hands-on experience with LLM applications, focusing on document ingestion, retrieval, and structured outputs. Proficient in collaborating on implementation and maintaining operational quality while utilizing APIs and automated testing.

Highest-signal resume keywords

Python ProgrammingLLM Application ExperienceAPI IntegrationAutomated TestingDocument Ingestion

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonDocument IngestionStructured OutputsError HandlingEvaluation CasesDebuggingTestingDeploymentTool CallsPermission Checks

Soft Skills

Clear English CommunicationCollaborative Work

Tools & Technologies

Amazon BedrockAnthropic ClaudeFastAPIDockerVector DatabasesAPIsJSONGit

Industry Keywords

Document IntelligenceKnowledge AssistantsGoverned AnalyticsAI Agents

Tech Stack

Tools & technologies

DockerPython

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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