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AI & Automation Engineer

Wavesix
๐Ÿ‡ฉ๐Ÿ‡ช Germany
On-site
6 months ago
  • AI
  • ETL
  • ELT
  • RAG
  • Python
  • LLM APIs
  • OpenAI
  • SQL
  • Data Modeling
  • Airflow
  • Prefect
  • dbt
  • BigQuery
  • Snowflake
  • GCP
  • AWS
  • Azure
  • LangChain
  • LlamaIndex
  • n8n
  • Zapier
  • Docker
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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 โ€” 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.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 โ€” 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 ยท n8n/Make/Zapier ยท 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

AI & Automation Engineer ยท Wavesix

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