AI Engineer

Both roles would prefer someone in Memphis, TN.

They will consider remote but have said that candidates in Memphis, TN who can work onsite with get preference.

AI Engineer (Remote or Memphis-based Preferred)

Overview

We're hiring a skilled AI Engineer to join an enterprise-scale organization focused on developing ethical, production-grade AI solutions. This long-term contract opportunity is ideal for someone who enjoys hands-on implementation, working in cross-functional teams, and shaping the way AI is applied to real-world challenges. While this role is remote-friendly, local candidates will be given preference due to occasional onsite collaboration needs.

Responsibilities

• Collaborate with AI architects, infrastructure teams, and engineers to develop and deploy scalable AI models and systems

• Design and maintain AI data pipelines and orchestration systems with an emphasis on reliability, performance, and security

• Build tools and processes for data synthesis, data preparation, and generation of training datasets

• Monitor deployed AI models and implement continuous improvement strategies based on feedback and performance metrics

• Document AI systems and provide expert support across the organization

• Apply AI governance principles to ensure models are transparent, ethical, and auditable

• Required Skills

• Proven experience as an AI Engineer, Data Engineer, or similar role focused on customer-facing, production-level AI and data systems

• Proficiency in Python or Java and hands-on familiarity with AI/ML libraries such as TensorFlow, PyTorch, or LangChain

• Experience with prompt engineering, retrieval-augmented generation (RAG), and scalable AI design patterns

• Production deployment experience on major cloud platforms (Azure and/or AWS strongly preferred)

• Solid understanding of DevOps practices, CI/CD pipelines, and version control systems

• Familiarity with vector databases, embeddings, and search indexing strategies

• Experience building or supporting APIs is a plus

Preferred Qualifications

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

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