AI & Automation Engineer

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.]]> 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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