Cognitx

AI / LLM Engineer – Working Student

Cognitx

internship

Posted on:

Location Type: Remote

Location: Germany

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Job Level

Entry Level

Tech Stack

DockerKubernetesMicroservicesPostgresPythonReactRedisTypeScript

About the role

  • Build and improve agentic workflows (tool/function calling, planning, self-checks) for analytics, summaries, visualizations, and task automation.
  • Implement adapters and tools to connect LLMs with internal and external services.
  • Contribute to our FastAPI backend (clean interfaces, validation with Pydantic, tests).
  • Develop evaluation metrics to measure accuracy, latency, and cost.
  • Optimize prompts, retrieval/contexting, and execution strategies for privacy, reliability, and performance.
  • Package and ship components in containers (Docker) and collaborate on deployments (Kubernetes), CI, and observability.
  • Document technical decisions and share learnings with the team.

Requirements

  • Experience with LLMs and AI agents (function/tool calling, RAG, MCP, or agent frameworks) and solid machine learning fundamentals.
  • Strong Python skills for production code and data work (type hints, tests, packaging).
  • Familiarity with APIs and microservices (FastAPI preferred), Git, and containerized development (Docker).
  • Strong problem-solving skills, clear communication, and a proactive ownership mindset.
  • Currently enrolled in Computer Science, Data Science, AI, or a related field and eligible to work as a Werkstudent/working student.
  • Nice to have: experience with retrieval/RAG stacks (embeddings, chunking, evaluators), Redis, PostgreSQL.
  • Familiarity with Kubernetes, GitLab CI, and observability tools (logs, metrics, traces).
  • Experience with React/TypeScript for lightweight UI tooling is a plus.
  • Interest in EU privacy/GDPR and safety-by-design for enterprise AI.
  • Exposure to self-hosted/open models (e.g., Llama, Mistral) and model serving.
  • Knowledge-graph concepts and graph query experience.
Benefits
  • Flexible working hours, remote-friendly, and opportunity to make an impact from day one.
  • Competitive compensation for working students.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonFastAPIDockerKubernetesAPIsmicroservicesmachine learningretrieval/RAG stacksReactTypeScript
Soft Skills
problem-solvingcommunicationownership mindset