AI Engineer

Fervo Energy

Agentic AI Engineer designing and shipping AI workflows at Fervo Energy, powering geothermal projects and enhancing operational capabilities.

Posted 6/2/2026full-timeGolden • Colorado • 🇺🇸 United StatesJuniorMid-Level💰 $103,152 - $158,588 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformPythonReactTerraformUnityVault

About the role

Key responsibilities & impact

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
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
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
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

Requirements

What you’ll need

Bachelor's or Master's 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

Benefits

Comp & perks

medical
dental
vision
life
short-term and long-term disability
flexible paid time off
paid parental leave
incentive stock options program
bonus incentive program
401(k) plan with an employer match

ATS Keywords

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Hard Skills & Tools

Pythonasync patternsAPI designFastAPIagent frameworksLangChainLlamaIndexRAG architecturesvector databasescontainerization

Soft Skills

leadershipcross-functional collaborationdesign reviewsproblem-solvingcommunication

Certifications

Bachelor's degreeMaster's degree