Agentic AI Engineer

Fervo is building the most cost-effective repeatable geothermal power plants in the world. Scaling that mission requires AI-native capabilities that drive measurable impact across drilling completions production geophysics and power plant operations. The Agentic AI Engineer within the Data & AI team designs and ships agentic workflows that turn unstructured knowledge and structured operational data into autonomous capabilities for engineers operators and decision-makers in the field.

The Agentic AI Engineer owns the end-to-end delivery of agentic AI use cases from problem framing and architecture through prototyping evaluation deployment and iteration in production. Working across Data Engineering IT Infrastructure domain SMEs and business stakeholders this role establishes reusable patterns for retrieval semantic grounding tool integration and agent orchestration on top of our Azure Databricks and Snowflake stack. Success requires strong hands-on engineering depth sound architectural judgment and pragmatism about what to ship versus what to defer.

Responsibilities

Agentic Workflow Design & Delivery

• Design and deploy end-to-end agentic AI workflows using plannerworker orchestratorexecutor 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
• Develop and curate knowledge graphs that connect domain entities (wells pads assets equipment events documents) and serve as grounding context for LLM reasoning
• Standardize how agents access enterprise data through Model Context Protocol (MCP) servers and equivalent integration patterns

Evaluation Observability & Production Operations

• Establish agent evaluation frameworks including golden datasets automated regression tests and structured evals for accuracy faithfulness and tool-use correctness
• Implement tracing logging and observability across agent runs to support debugging cost monitoring and continuous improvement
• Build feedback loops that capture user input and convert it into eval cases and prompt/system improvements
• Support production incidents and platform-level issues impacting deployed agents

Deployment & Enablement

• Deploy agents as production services on our Azure-native stack (App Service Container Apps Functions) with Entra ID SSO Key Vault-managed secrets and proper cost controls
• Build lightweight UIs (Streamlit Gradio or React) for agentic applications and internal tools
• Lead design reviews and cross-functional enablement sessions on agentic AI patterns and best practices

Qualifications

Required

• Bachelors or Masters degree in Computer Engineering or Data Science preferred.
• 2 years of hands-on experience building and deploying agentic AI or LLM-powered applications in production not just prototypes or notebooks
• Strong Python skills including async patterns API design with FastAPI and writing testable maintainable production code
• Demonstrated experience with at least one major agent framework: LangChain/LangGraph LlamaIndex AutoGen or Semantic Kernel
• Working knowledge of LLM APIs and SDKs (Anthropic Claude OpenAI Azure OpenAI) including tool use/function calling structured outputs streaming and prompt engineering
• Experience implementing RAG architectures with vector databases (Azure AI Search pgvector Pinecone Weaviate Chroma or similar) and embedding models
• Experience with agent orchestration patterns including multi-step planning tool routing state management and graceful failure handling
• Familiarity with Model Context Protocol (MCP) or equivalent standards for tool and context integration
• Cloud deployment experience on Azure (App Service Container Apps Functions Key Vault Entra ID) or equivalent in AWS/GCP with willingness to work in our Azure-first environment
• Strong Git and CI/CD experience including version control discipline code review and automated testing
• Experience with containerization (Docker) and infrastructure-as-code (Terraform preferred)
• Strong observability and production operations skills including structured logging tracing cost monitoring and runbook development

Preferred

• Experience designing or working with semantic models and semantic layers Snowflake Semantic Views Databricks Metric Views dbt Semantic Layer Cube or Power BI semantic models
• Hands-on experience with knowledge graphs: graph databases (Neo4j Azure Cosmos DB Gremlin) RDF/SPARQL ontology design or graph-augmented RAG
• Experience with agent evaluation tooling such as LangSmith
• Experience with our broader data stack: Databricks Snowflake Azure Data Lake Storage (ADLS) Azure Data Factory
• Oil and gas or energy industry experience including familiarity with drilling completions production geophysics or industrial historian data
• Background in time-series data signal processing or industrial IoT (MQTT OPC UA SparkplugB)

Experience with multimodal models for handling well logs schematics or scanned reports

Location

Fervo Energy is headquartered in Houston TX with growing offices in Golden CO Reno NV and Oakland CA and Salt Lake City UT. This position will be eligible for some hybrid work flexibility but regular in-office presence at the Golden or Houston office will be required.

Compensation & Benefits

Fervo provides a comprehensive suite of benefits including medical dental vision life short-term and long-term disability flexible paid time off and paid parental leave. Additionally Fervo offers an incentive stock options program a bonus incentive program and a 401(k) plan with an employer match.

Fervo Energy is providing the compensation range and general description of other compensation and benefits that the company in good faith believes it might pay and/or offer for this position based on the successful applicants education experience knowledge skills and abilities in addition to internal equity and geographic location. Expected Salary: $103152 - $158588 based on location and experience.

Fervo Energy reserves the right to ultimately pay more or less than the posted range and offer other compensation depending on circumstances not related to an applicants sex or other status protected by local state or federal law.