> Markdown version of [/jobs/ext/1754636-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/1754636-ai-ml-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/ML Engineer - **Company:** TechniPros, LLC - **Location:** St. Louis, MO, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Engineering, Python (Programming Language), Machine Learning, Tensorflow, Standard Sql, IBM Watson Health, Pytorch, Large Language Models, Prompt Engineering, Generative AI, AI Platforms, Kubernetes, Machine Learning Operations - **Published:** July 28, 2026 - **Apply:** https://www.dice.com/job-detail/355032ec-99bf-476c-a96c-79b423826e76 ## About the Role * Python * SQL * AWS * Machine Learning * MLOps * LLMs * Generative AI * Retrieval Augmented Generation (RAG) * Prompt Engineering * PyTorch * TensorFlow * scikit-learn * SageMaker * Bedrock * MLflow * Kubeflow * Vector Databases Mandatory Skills: * Python * AWS * Machine Learning * MLOps * LLM * GenAI * RAG * Prompt Engineering * SageMaker * Bedrock * MLflow * Kubeflow * Vector Databases ## Description * We are hiring experienced AI/ML Engineers to support a cutting-edge Healthcare AI initiative. The ideal candidate will possess extensive experience in Machine Learning, Generative AI, MLOps, and cloud-native AI platforms with expertise in AWS., * Design, develop, and deploy AI/ML solutions on AWS. * Build scalable Machine Learning pipelines. * Develop Generative AI applications using LLMs and RAG architectures. * Implement Prompt Engineering techniques for enterprise AI applications. * Develop and deploy models using SageMaker and Bedrock. * Build MLOps pipelines using MLflow and Kubeflow. * Work with vector databases for semantic search applications. * Collaborate with healthcare stakeholders to build Clinical NLP solutions. ## 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) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow) - [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 Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Prompt Engineering is a Job of the Past](https://www.wearedevelopers.com/magazine/342-prompt-engineering-is-a-job-of-the-past) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)