Visão geral da vaga
Split responsibilities between senior data engineering and production LLM or agentic systems. Build and operate Snowflake, dbt, Airflow, AWS and Python data pipelines; create production agents, MCP integrations, evaluation and observability; and deliver initiatives around AI-ready data catalogs, context and unstructured-data extraction.
Requisitos
7+ years of data or software engineering experience and 5+ years in cloud environments; production experience with LLM or agentic systems, tool calling, RAG, multi-agent workflows and human-in-the-loop patterns; evaluation and observability for AI systems; frontier model APIs and agent SDKs; MCP; strong Python and SQL; deep Airflow or Astronomer; Snowflake, dbt, AWS, Docker, infrastructure as code and CI/CD; document extraction and embeddings; high autonomy; strong English; full availability during U.S. Eastern business hours.
Benefícios
Fully remote work; flexible schedule; unlimited paid time off; paid parental and bereavement leave; work with recognized clients and experienced teammates; monthly salary of USD 6,100 to 7,000.