> Markdown version of [/jobs/ext/4571263-ai-engineer](https://www.wearedevelopers.com/jobs/ext/4571263-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** FOCUSPOINT, LLC - **Location:** Nashville, TN, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, Feature Engineering, Data Ingestion, Pytorch, Transfer Learning, Containerization, Kubernetes, Information Technology, HuggingFace, Performance Monitor, Model Architecture, Machine Learning Operations, Docker - **Published:** November 4, 2026 - **Apply:** https://www.thejobnetwork.com/job/2071996f-a34b-4550-bc96-bb5c46b3ddc8/ai-engineer ## About the Role * Bachelor's or Master's in Computer Science, Artificial Intelligence, or a related field * 3-5 years of experience in AI/ML development, with hands-on work deploying models in production * Proficiency in Python (PyTorch, TensorFlow, HuggingFace), and familiarity with MLOps frameworks like MLflow or Kubeflow * Cloud experience with AWS/GCP/Azure; containerization with Docker/Kubernetes preferred * Strong understanding of model architecture, training optimization, and performance tuning ## Description * Design, implement, and optimize AI/ML models (NLP, CV, RL, LLM fine-tuning) to solve high-impact business problems * Collaborate with cross-functional teams (Data Scientists, MLOps, Product Managers) to productionize models and monitor performance * Develop scalable pipelines for data ingestion, feature engineering, model training and deployment * Stay current with emerging AI frameworks and contribute to internal knowledge-sharing and POC development * Ensure model integrity, reproducibility, and ethical AI guidelines in deployment