AI Implementation Engineer
Job in
Memphis, Shelby County, Tennessee, 38103, USA
Listed on 2026-07-01
Listing for:
Syntricate Technologies
Full Time
position Listed on 2026-07-01
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
AI Implementation Engineer
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:
RoleAI Implementation Engineer
DurationLong-Term Contract
LocationMemphis, TN – 100% Remote
Top Skills in Order of Preference- 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
- Familiarity with vector databases, search indexes, and embeddings
- Experience with application and API development practices
- 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.
- Bachelor's degree in Computer Science, Engineering, or a related field
- Relevant certifications in AI, data engineering, or cloud computing
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×