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Implementation and Integration

AI Implementation Engineer Full-time

Please take a moment to review the job description below. If you are interested in applying, please reply so we can talk about it more.
This is a contract position and we are offering payment options of W2/1099 & C2C per hour.
The interview process will be initiated as soon as possible.
We are excited to hear back from you.

Job Description:
Role: AI Implementation Engineer
Duration:: Long-Term Contract
Location: Memphis, TN – 100% Remote

TOP SKILLS in order of preference.

  1. AI Solution Design and Implementation
  2. Machine Learning and Data Science Expertise
  3. AI Architecture and Pipeline Planning

QUALIFICATIONS / EXPERIENCE

  • Proven experience as a Data Engineer, AI Engineer, or similar role, with a focus on production, customer facing implementation of data orchestration and AI technologies.
  • Proficiency in programming languages (Python, Java), familiarity with related AI/ML frameworks (ex. LangChain, TensorFlow, PyTorch).
  • Experience with prompt flows, prompt engineering best practices, and AI patterns (ex. Retrieval Augmented Generation (RAG))
  • Development and production deployment experience with data products on public cloud platforms (Azure and AWS preferred)
  • Strong development practices including source control, testing methodologies, and, preferably, DevOps or CI/CD processes and tooling
  • Familiarity with vector databases, search indexes, and embeddings
  • Experience with application and API development practices

ESSENTIAL JOB FUNCTIONS

  • Collaboration: Work with AI architect, infrastructure, and other engineers to develop and deploy AI models based on jointly created designs.
  • Operations: Ensure scalability, reliability, and security of AI and data orchestration systems. Design systems to produce ethical, un-biased output.
  • Support: Provide SME level support, document, and guidance for implemented AI processes.
  • Governance and Improvement: Monitor and improve AI systems based on performance metrics and user feedback. Implement governance and observation methodologies to provide transparency to model operations.
  • Data Preparation: Design and implement processes to improve data quality, synthesize data, produce training sets, and generally prepare data for AI usage.

EDUCATION

  • Bachelor’s degree in Computer Science, Engineering, or a related field

CERTIFICATIONS

  • Relevant certifications in AI, data engineering, or cloud computing

Job Overview

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