AI Developer
Diamondback Energy2 months ago
Dallas, TX, USAMid Level / Senior
Responsibilities
- Design, build, and deploy AI-powered applications and autonomous or multi-agent workflows using large language models.
- Build and maintain data pipelines connecting Snowflake and Azure Databricks to AI/ML workflows, including pipelines built with dbt.
- Develop and orchestrate agentic systems using the Claude Agent SDK and Azure AI Foundry Agent Service, including tool use, RAG, and multi-step reasoning.
- Build evaluation harnesses and testing frameworks to measure model and agent quality, reliability, and safety.
- Prototype and evaluate emerging AI tools, models, and frameworks and recommend valuable adoption opportunities.
- Partner with data science, data engineering, IT, and business stakeholders to turn ambiguous needs into production-ready solutions.
- Support responsible AI practices involving data privacy, access control, and governance in Azure and Snowflake environments.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
- Two to four years of hands-on experience building and shipping software, data, or AI/ML applications in production.
- Strong proficiency in Python and experience writing tested, maintainable code.
- Working knowledge of SQL and experience with at least one cloud data platform such as Snowflake or Databricks.
- Hands-on experience building applications with large language models or generative AI APIs such as Claude, OpenAI, or Azure OpenAI.
- Familiarity with version control, testing, CI/CD, and common software design patterns.
- Strong problem-solving and communication skills with the ability to collaborate across technical and business teams.
- Ability to learn new tools, frameworks, and platforms quickly and work effectively in an ambiguous, fast-evolving environment.
- Preferred experience with Azure services, especially Azure Databricks and Azure AI Foundry.
- Preferred experience with Anthropic Claude, the Claude Agent SDK, or comparable agent development frameworks.
- Preferred experience with vector databases, embedding and chunking strategies, unstructured-data conversion, dbt, MCP, infrastructure-as-code, containerization, or cloud deployment.
- Exposure to the energy industry, contributions to open-source or personal AI projects, or participation in the AI developer community is preferred.
Categories
AI ApplicationsData Engineering
About Diamondback Energy
Diamondback Energy is an independent, upstream oil and natural gas company focused on acquiring, developing, and producing unconventional reserves in the Permian Basin of West Texas. It generates revenue by selling crude oil, natural gas, and NGLs to refiners, marketers, and midstream companies under term and spot contracts. Founded in 2007, the company is headquartered in Midland, Texas and trades on NASDAQ under the ticker FANG.