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 · DockerYou 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