
Artificial Intelligence (AI) Engineer
- Knoxville, TN
- Permanent
- Full-time
- Designing: Architect greenfield autonomous agent systems and robust tools to integrate AI capabilities into existing applications.
- Developing: Build and maintain web services using modern cloud technologies and best practices.
- Testing: Ensure AI tools, workflows, and agent systems meet performance, accuracy, and reliability standards through comprehensive testing and monitoring.
- Bachelor's degree in Computer Science, Engineering, Machine Learning, or a related field
- 8+ years of experience in full-stack software development with focus on AI/ML systems
- 5+ years of experience building and deploying applications on cloud platforms such as AWS, Azure, or Google Cloud
- Proof of successful deployment of LLM-based agents or workflows to automate work for a commercial (profitable) use-cases integrated into production software.
- Demonstrated experience measuring and improving the performance of RAG (Retrieval-Augmented Generation) and fine-tuned AI systems to meet production ROI requirements
- Strong background in building observability, monitoring, and logging systems for AI/ML applications in production environments.
- Experience with containerization technologies (e.g., Docker, Kubernetes)
- Experience with real-time data streaming technologies (e.g., Apache Kafka, Amazon Kinesis)
- Experience with vector databases and embedding systems
- Knowledge of AI safety, responsible AI practices, and model governance
- Experience with A/B testing frameworks for AI systems