AI Engineer

Crescent Energy is hiring an AI Engineer in Houston, TX to build reliable AI applications and help employees adopt them through engineering and internal education.

Responsibilities

• Design, build, test, and support AI applications, assistants, and workflow automation for operational, technical, financial, and business needs
• Develop the shared AI platform and specialized applications using software development, data and API integrations, user interfaces, and workflow capabilities
• Improve AI application behavior using prompt and context design, retrieval, tool use, and workflow logic
• Create evaluation cases and regression checks; investigate failures and improve accuracy, source grounding, task completion, and reliability using test results and user feedback
• Compare model and application changes using consistent evaluation methods, weighing quality, security, response time, and operating cost
• Integrate AI applications with approved databases, business systems, APIs, and document repositories while respecting access controls and data handling requirements
• Use validated data sources and deterministic calculations for numerical results, with AI supporting retrieval, explanation, and communication
• Apply sound engineering practices including code review, automated testing, deployment pipelines, logging, monitoring, documentation, and support
• Build and maintain an active internal community of AI users and champions across business functions
• Plan and facilitate practical workshops, demonstrations, office hours, and learning sessions for employees with different experience levels
• Create clear, reusable learning materials and examples based on real Crescent workflows, including how to review AI outputs and handle company information appropriately
• Collect employee questions, feedback, use cases, and adoption barriers; translate recurring needs into improvements for AI applications, evaluations, and learning resources
• Partner with subject matter experts and technical colleagues to keep training accurate, useful, and aligned with available capabilities
• Measure education and AI tool impact using participation, continued engagement, user feedback, and workflow outcomes

Requirements

• Bachelor’s degree in computer science, engineering, data science, or a related field, or equivalent practical experience
• Professional software development experience building and supporting applications
• Hands-on experience developing applications powered by large language models or other AI techniques
• Proficiency in a modern programming language and SQL, with experience working with both structured and unstructured data
• Experience working with APIs, enterprise systems, and software testing
• Ability to explain technical ideas clearly, listen to business needs, and collaborate with both technical and nontechnical colleagues
• Strong problem-solving skills and sound judgment regarding AI limitations, data confidentiality, and when human review is needed

Technologies

• SQL
• APIs
• Large language models
• Retrieval-augmented generation
• AI agents
• Snowflake
• ARIES
• WellView
• ProCount

Preferred skills and experience

• Upstream oil and gas experience, especially in production, drilling and completions, reservoir engineering, reserves and economics, or asset evaluation
• Experience facilitating employee learning or an internal technical community, including workshops, office hours, demonstrations, or champion networks
• Experience improving AI application quality through evaluation datasets, regression testing, error analysis, and structured comparison of changes
• Experience with retrieval-augmented generation, AI agents, model tool use, or multi-step workflows
• Familiarity with cloud hyper-scalers, Snowflake, or industry applications such as ARIES, WellView, or ProCount
• Experience delivering software or learning programs that achieve measurable improvements in productivity, analysis, decision-making, or employee confidence

What success looks like

• Employees can find practical guidance, get help, and use approved AI capabilities with confidence
• Employee feedback and recurring business needs drive clear improvements in AI applications and learning resources
• AI application changes are supported by evaluation evidence and reliable software practices
• AI solutions deliver useful, measurable improvements to Crescent workflows