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# AI Engineer

- **Company:** Crescent Energy
- **Location:** Houston, TX, United States
- **Contract:** Permanent contract
- **Skills:** Testing (Software), Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Business Systems, Code Review, Databases, Design of User Interfaces, Regression Testing, Software Engineering, SQL Databases, Unstructured Data, Data Logging, Data Processing, Enterprise Software Applications, Retrieval-Augmented Generation, Delivery Pipeline, Large Language Models, Snowflake, Software Application Programming, Agentic-AI, AI Platforms, Information Technology, Api Design, Api Management, Programming Languages
- **Published:** October 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d0a0f92d3914a0b4

## About the Role

* 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 ideas clearly, listen to business needs, and collaborate with technical and nontechnical colleagues.

 * Strong problem-solving skills and sound judgment about AI limitations, data confidentiality, and when human review is needed., * 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.

## Description

AI Engineering

 * Design, build, test, and support AI applications, assistants, and workflow automation for operational, technical, financial, and business needs.

 * Contribute to the shared AI platform and its specialized applications through software development, data and API integrations, user interfaces, and workflow capabilities.

 * Improve AI application behavior through clear instructions, prompt and context design, retrieval, tool use, and workflow logic.

 * Develop representative 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, considering 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.

Employee Education and Community

 * Build 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 levels of experience.

 * Create clear, reusable learning materials and examples based on real Crescent workflows, including how to review AI outputs and handle company information appropriately.

 * Gather employee questions, feedback, use cases, and adoption barriers; translate recurring needs into improvements to 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 whether education and AI tools are helping employees, using participation, continued engagement, user feedback, and workflow outcomes., * Employees are able to find practical guidance, get help, and use approved AI capabilities with confidence.

 * Employee feedback and recurring business needs lead to 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.