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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Mid/Senior AI Engineer - **Company:** Tennesee Urology Associates, PLLC - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Continuous Integration, Python (Programming Language), Machine Learning, Tensorflow, Chatbots, Pytorch, Reliability of Systems, Generative AI, Scikit Learn, Production Code, Machine Learning Operations, Software Version Control - **Published:** August 12, 2026 - **Apply:** https://job-boards.eu.greenhouse.io/tensorops/jobs/4930699101 ## About the Role * 2+ years of professional experience in Machine Learning, AI Engineering, or a related role (Mid-level) / 5+ years for Senior * Strong hands-on skills in Python, writing clean, efficient, well-documented, production-quality code * Proven experience designing, training, optimizing, and deploying ML models independently (e.g., PyTorch, TensorFlow, Scikit-learn) * Experience building GenAI & LLM systems: RAG pipelines, chatbot architectures, and applications using tools like LangChain * Familiarity with MLOps & production ML practices: model versioning, monitoring, CI/CD for ML workflows * Experience deploying and scaling ML systems on AWS, GCP, or Azure * Strong performance optimization and debugging skills (diagnosing complex issues and improving system reliability and efficiency) * Experience working with stakeholders or clients is a plus ## Description We're hiring a Mid/Senior ML Engineer to contribute to technical direction across client engagements and mentor a growing team of junior ML engineers. You'll work directly with clients, taking AI systems from prototype to production-grade deployment. In this role, you will: * Design, build, and deploy production ML and LLM-based systems (RAG, agentic workflows, fine-tuning, embeddings) for enterprise clients * Own technical delivery end-to-end: from architecture and prototyping to deployment, monitoring, and iteration * Work directly with client engineering and product teams to translate business needs into scoped, shippable technical solutions * Mentor and support other ML engineers on the team - code reviews, technical guidance, and knowledge sharing * Help shape internal best practices, tooling, and technical standards as the team grows * Represent TensorOps technically in client conversations, workshops, and (optionally) at industry conferences, * Dynamic, High-Impact Projects: Work on cutting-edge ML and GenAI solutions across diverse industries * International Clients: Collaborate with global organizations and solve real-world challenges at scale * Urban Sports Club Membership: Supporting your physical and mental wellbeing * Monthly Bolt Credits: For rides * Company Events & Offsites: Regular team gatherings to connect, collaborate, and celebrate ## Related Videos - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Chatbots are going to destroy infrastructures and your cloud bills](https://www.wearedevelopers.com/videos/1130-chatbots-are-going-to-destroy-infrastructures-and-your-cloud-bills) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Engineering Mindset in the Age of AI - Gunnar Grosch, AWS](https://www.wearedevelopers.com/videos/1735-engineering-mindset-in-the-age-of-ai-gunnar-grosch-aws) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)