AI Engineer — Production ML & LLM Features

Crowe

Plano (TX)

On-site

USD 62,000 - 100,000

Full time

10 days ago

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Job summary

Crowe is seeking an AI Engineer to advance AI features from concept to production. You will refine technical requirements, write robust code, and ensure scalable, secure AI deployments.

Ideal candidates have strong Python and Git skills, independence in a fast-paced environment, and a knack for communicating complex topics to nontechnical stakeholders. The role emphasizes responsible AI and thorough testing practices.

Qualifications

  • Proficiency in Python and Git to build production-grade AI features.
  • Able to work independently in a dynamic environment and deliver results.
  • Excellent communication for documenting and presenting technical details to nontechnical stakeholders.
  • Experience navigating ambiguities and iterative testing to refine AI solutions.

Responsibilities

  • Advance AI features from POC to production-ready implementations.
  • Define and execute the technical vision for scalable AI solutions.
  • Refine user stories and acceptance criteria aligned with business needs.
  • Write high-quality production code and participate in code reviews.
  • Develop testing protocols including smoke and unit tests to ensure reliability.
  • Support debugging and triage to maintain solution integrity throughout development.
  • Participate in ethical reviews and risk/security evaluations for responsible AI deployment.

Skills

Python programming
Git
Independent worker
Communication skills
Testing & QA

Tools

ChatGPT Enterprise
Microsoft Copilot
Azure AI Foundry

Job description

Crowe is seeking an AI Engineer to advance AI features from concept to production. You will refine technical requirements, write robust code, and ensure scalable, secure AI deployments.

Ideal candidates have strong Python and Git skills, independence in a fast-paced environment, and a knack for communicating complex topics to nontechnical stakeholders. The role emphasizes responsible AI and thorough testing practices.

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