Remote RAG AI Engineer - Remote

Kforce Inc is seeking a Remote RAG AI Engineer to build and integrate AI solutions for their client. The role involves designing, testing, deploying, and optimizing machine learning models, as well as collaborating with technical and business teams to align AI solutions with objectives.

Responsibilities:

• Build and integrate AI solutions, including MCPs, to connect agents with tools and systems
• Source, prepare, and manage data for machine learning and AI applications
• Design, test, deploy, and optimize ML models to meet business and performance goals
• Integrate AI models into applications using APIs and cloud platforms
• Monitor, troubleshoot, and improve AI systems for reliability and scalability
• Apply ethical AI principles, ensuring fairness, privacy, and transparency
• Collaborate across technical and business teams to align AI solutions with objectives
• Document architectures, share best practices, and mentor team members
• Support stakeholders with AI expertise, reporting, and participation in design and review sessions

Requirements:

• Bachelor's or Master's degree in Computer Science, AI, Data Science, Engineering, or related field
• 3+ years of relevant experience in AI/ML development
• Strong understanding of RAG architectures, including semantic chunking, filtering, and evaluation strategies
• Experience evaluating and iteratively improving RAG model performance over time
• Advanced proficiency in Python; working knowledge of Java, R, or Scala
• Hands-on experience with ML frameworks (TensorFlow, PyTorch, Keras, or similar)
• Solid foundation in algorithms, data structures, and core AI concepts (NLP, neural networks, computer vision)
• Experience with cloud AI services (Azure, AWS, GCP)
• Strong problem-solving, prioritization, and critical-thinking skills in fast-paced environments
• Excellent communication, collaboration, and leadership capabilities; Adaptable self-starter