Fervo Energy · Houston, TX, USA
About the Role
Fervo Energy is seeking an Agentic AI Engineer to join our Data & AI team. The successful candidate will design and ship agentic workflows that turn unstructured knowledge and structured operational data into autonomous capabilities for engineers, operators, and decision-makers in the field.
Responsibilities
Design and deploy end-to-end agentic AI workflows using planner–worker, orchestrator–executor, multi-agent, and RAG-based architectures
Build reusable components and reference patterns for tool routing, state management, error handling, and human-in-the-loop checkpoints
Implement robust retrieval pipelines (hybrid search, vector + keyword, graph-aware retrieval) over technical documents, historian data, and operational records
Translate domain problems from drilling, completions, production, geophysics, and power plant operations into well-scoped agentic use cases with clear success metrics
Semantic Grounding & Knowledge Integration: Build and maintain a semantic layer over our data lake and warehouse using Snowflake Semantic Views and Databricks Unity Catalog Metric Views, making business concepts queryable by both humans and agents
Evaluation, Observability & Production Operations: Establish agent evaluation frameworks including golden datasets, automated regression tests, and structured evals for accuracy, faithfulness, and tool-use correctness