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Machine Learning Engineer · Germany

AI & Automation Engineer

wavesix·Berlin

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Ihre Aufgaben You'll design and ship AI systems and automation workflows that solve real business problems. You know when to reach for an LLM and when a simple rule or lookup table does the job better — and you build accordingly. Experience with data engineering is a meaningful plus: DAGs, ETL pipelines, and agent workflows share the same core challenges around reliability, observability, and failure handling. Ihr Profil You'll Build

  • ETL/ELT pipelines and orchestrated automation workflows
  • AI pipelines with LLMs, embeddings, and retrieval where they add real value
  • RAG systems and agents grounded in real company data
  • Integrations that connect AI outputs to actual business tools and processes

What We're Looking For Core:

  • Python, LLM APIs (OpenAI, Anthropic, etc.), prompt engineering and evaluation
  • RAG pipelines, embeddings, vector databases
  • Workflow automation and orchestration — agents, triggers, conditional logic
  • Strong judgment on when to use AI vs. deterministic logic
  • Big plus:
  • ETL/ELT pipeline design, SQL, data modeling, API integrations
  • Airflow, Prefect, dbt, BigQuery/Snowflake, cloud (GCP/AWS/Azure)
  • Bonus:
  • LangChain/LlamaIndex · n8n/Make/Zapier · Docker

You Likely...

  • build things from scratch and care about reliability, not just demos
  • have a data engineering or early-stage startup background
  • move fast, ship often, iterate on results
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