3 days ago
Houston, TX, USAMid Level

Responsibilities

  • Design, build, test, and support AI applications, assistants, and workflow automations.
  • Contribute software development, data and API integrations, user interfaces, and workflow capabilities to the shared AI platform and specialized applications.
  • Improve AI behavior through prompt and context design, retrieval, tool use, and workflow logic.
  • Develop evaluation cases, regression checks, error analysis, and structured comparisons of model and application changes.
  • Integrate AI applications with approved databases, business systems, APIs, and document repositories while respecting access controls and data-handling requirements.
  • Apply engineering practices including code review, automated testing, deployment pipelines, logging, monitoring, documentation, and support.
  • Build an internal community of AI users and champions across business functions.
  • Plan and facilitate workshops, demonstrations, office hours, and learning sessions, and create reusable learning materials.
  • Gather employee feedback and translate recurring needs into improvements to applications, evaluations, and learning resources.
  • Measure the impact of AI education and tools through participation, engagement, 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, including work with structured and unstructured data.
  • Experience working with APIs, enterprise systems, and software testing.
  • Ability to explain technical ideas clearly, understand business needs, and collaborate with technical and nontechnical colleagues.
  • Sound judgment regarding AI limitations, data confidentiality, and when human review is needed.
  • Preferred experience includes upstream oil and gas, employee learning or internal technical communities, AI evaluation and regression testing, retrieval-augmented generation, AI agents, model tool use, multi-step workflows, cloud hyperscalers, Snowflake, ARIES, WellView, or ProCount.
  • Preferred experience includes delivering software or learning programs with measurable improvements in productivity, analysis, decision-making, or employee confidence.

Tech Stack

SnowflakeSQL

Categories

Crescent Energy

About Crescent Energy

501-1,000 employees

Crescent Energy is a publicly traded U.S. oil and gas company that acquires and operates producing assets and mineral/royalty interests to generate cash flow. The Houston-based operator focuses on the Eagle Ford, Permian, and Uinta basins and is a top-three producer in the Eagle Ford. Listed on the NYSE, Crescent follows an acquisition-led strategy and has expanded significantly since going public in 2021.

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