Dice is the leading career destination for tech experts at every stage of their careers. Our client, eGrove Systems Corporation, is seeking the following. Apply via Dice today! Job Description - Need Someone Local - With DL and references Job Title: AI Engineer Location: Memphis, TN (Local Candidates will get preference) Duration: 18 Months + Extensions (Long term contract. Could possibly go perm if candidate desires) Start Date: ASAP Number of Openings: 1 Top Skills in Order of Preference • AI Solution Design and Implementation • Machine Learning and Data Science Expertise • AI Architecture and Pipeline Planning Essential Job Functions • Collaboration: Work with AI architects, 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. Requirements • 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 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.