Cognitx

AI / LLM Engineer – Werkstudent

Cognitx

part-time

Posted on:

Location Type: Remote

Location: Remote • 🇩🇪 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, and visualizations, task automation.
  • Implement adapters/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.
  • Ship in containers (Docker) and collaborate on deploys (Kubernetes), CI, and observability.
  • Document decisions and share learnings with the team.

Requirements

  • Experience with LLMs/AI agents (function/tool calling, RAG, MCP, or agent frameworks) and Machine Learning fundamentals.
  • Strong Python skills for production code and data work (typing, tests, packaging).
  • Familiarity with APIs and microservices (FastAPI preferred), Git, and containerized dev (Docker).
  • Solid problem-solving, clear communication, and a proactive, ownership mindset.
  • Currently enrolled in Computer Science, Data Science, AI, or a related field (eligible to work as a Werkstudent:in).
  • Nice to have: Retrieval/RAG stacks (embeddings, chunking, evaluators), Redis, PostgreSQL.
  • Kubernetes, GitLab CI, observability (logs/metrics/traces).
  • React/TypeScript for light UI tooling.
  • Interest in EU privacy/GDPR and safety-by-design for enterprise AI.
  • Exposure to self-hosted/open models (e.g., Llama, Mistral etc) and model serving.
  • Knowledge-graph concepts; graph queries.
Benefits
  • Work on meaningful, privacy-first AI with real enterprise pilots.
  • Learn fast with tight mentorship from a team of Senior AI Experts.
  • Flexible hours, remote-friendly, and impact from day one.
  • Competitive Werkstudent compensation.

Applicant Tracking System Keywords

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

Hard skills
PythonMachine LearningFastAPIDockerKubernetesAPIsmicroservicesRedisPostgreSQLReact
Soft skills
problem-solvingclear communicationproactive mindsetownership mindset