AI Engineer

Crescent Energy; Houston (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Crescent Energy is seeking an AI Engineer to build practical AI solutions and drive adoption across the organization. You will design, test, and deploy AI-powered applications, integrating with databases, APIs, and business systems in a hands-on, security-conscious role.

You will also help educate employees through workshops and learning resources, shaping a pragmatic, scalable AI platform across engineering, operations, finance, and IT.

Qualifications

• Bachelor’s degree in computer science, engineering, data science, or 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 structured and unstructured data.
• Experience working with APIs, enterprise systems, and software testing.
• Ability to explain technical concepts clearly, listen to business needs, and collaborate with technical and nontechnical colleagues.
• Strong problem-solving skills and sound judgment regarding AI limitations, data confidentiality, and when human review is needed.

Responsibilities

• Design, build, test, and support AI applications, assistants, and workflow automation for operational, technical, financial, and business needs.
• Contribute to a shared AI platform and specialized applications through 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.
• Develop representative evaluation cases and regression checks; investigate failures to improve accuracy, source grounding, task completion, and reliability using test results and user feedback.
• Compare model and application changes using consistent evaluation methods, considering quality, security, response time, and operating cost.
• Integrate AI applications with approved databases, business systems, APIs, and document repositories while following 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 internal community of AI users and champions across business functions.
• Plan and facilitate practical workshops, demonstrations, office hours, and learning sessions for employees at different experience levels.
• Create clear, reusable learning materials and examples based on real Crescent workflows, including guidance for reviewing AI outputs and handling company information appropriately.
• Collect employee questions, feedback, use cases, and adoption barriers, then translate recurring needs into improvements for AI applications, evaluations, and learning resources.
• Work with subject matter experts and technical colleagues to keep training accurate, useful, and aligned with available capabilities.
• Measure whether education and AI tools are helping employees using participation, continued engagement, user feedback, and workflow outcomes.

Skills

Software development

AI applications with LLMs

SQL

APIs

Communication

Education

Bachelor’s degree in CS/Engineering/related field

Tools

Snowflake

ARIES

WellView

ProCount

Job description

Crescent Energy is seeking an AI Engineer to build practical AI solutions and support adoption across the organization. This role focuses on hands-on engineering, secure application development, and internal education to help employees use AI capabilities effectively. The position partners with engineering, operations, finance, and IT to convert business requirements into reliable applications.

Key Responsibilities

• Design, build, test, and support AI applications, assistants, and workflow automation for operational, technical, financial, and business needs.
• Contribute to a shared AI platform and specialized applications through 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.
• Develop representative evaluation cases and regression checks; investigate failures to improve accuracy, source grounding, task completion, and reliability using test results and user feedback.
• Compare model and application changes using consistent evaluation methods, considering quality, security, response time, and operating cost.
• Integrate AI applications with approved databases, business systems, APIs, and document repositories while following 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 internal community of AI users and champions across business functions.
• Plan and facilitate practical workshops, demonstrations, office hours, and learning sessions for employees at different experience levels.
• Create clear, reusable learning materials and examples based on real Crescent workflows, including guidance for reviewing AI outputs and handling company information appropriately.
• Collect employee questions, feedback, use cases, and adoption barriers, then translate recurring needs into improvements for AI applications, evaluations, and learning resources.
• Work with subject matter experts and technical colleagues to keep training accurate, useful, and aligned with available capabilities.
• Measure whether education and AI tools are helping employees using participation, continued engagement, user feedback, and workflow outcomes.

Required Qualifications

• 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 structured and unstructured data.
• Experience working with APIs, enterprise systems, and software testing.
• Ability to explain technical concepts clearly, listen to business needs, and collaborate with 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 to 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.

Location

Houston, TX (onsite)