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, Big. Query/Snowflake, cloud (GCP/AWS/Azure) Bonus: Lang.

Chain/Llama. Index

• 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