AI Implementation Engineer

AI Implementation Engineer

Location:

Memphis, TN (Preferred) or Remote Duration: 18 Months + Extensions (Long-term contract.)

Start Date:

ASAP Number of Openings: 1

• 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, unbiased output.
• Support:
  Provide SME-level support, documentation, 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.

• 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. Lang Chain, Tensor Flow, 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, Dev Ops or CI/CD processes and tooling or Familiarity with vector databases, search indexes, and embeddings
• Experience with application and API development practices is a plus
• Education:
  
  Bachelor's degree in Computer Science, Engineering, or a related field.
• Certifications:
  
  Relevant certifications in AI, data engineering, or cloud computing are a plus.