> Markdown version of [/jobs/ext/3700600-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/3700600-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:** Denver, CO, United States (Remote available) - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Artificial Intelligence, Python (Programming Language), Machine Learning, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Deep Learning, Generative AI, Agentic-AI, AI Platforms, Kubernetes, Amazon Bedrock, CrewAI, Machine Learning Operations, Docker - **Published:** October 12, 2026 - **Apply:** https://www.dice.com/job-detail/811fa3f7-5e0f-4e6b-9df2-6881f72c6c95 ## About the Role · Python · Machine Learning · Deep Learning · Generative AI · LLMs · Agentic AI · RAG · Prompt Engineering · LangChain · Vector Databases · Azure AI Foundry · Amazon Bedrock · MLflow · Kubernetes · Docker Preferred Skills: · MCP · CrewAI · LangGraph · AI Governance · AI Security · Responsible AI Mandatory Skills: · Python · Machine Learning · Generative AI · Agentic AI · Azure AI Foundry · Amazon Bedrock · LangChain · MLflow · Kubernetes · Vector Databases ## Description We are seeking a Principal AI/ML Engineer to architect enterprise AI platforms supporting predictive analytics, Generative AI, Agentic AI, and advanced Machine Learning solutions. The ideal candidate should possess strong architecture, leadership, and cloud AI expertise., · Design enterprise AI architectures. · Lead AI platform modernization initiatives. · Develop predictive analytics solutions. · Build LLM-powered enterprise applications. · Develop Agentic AI workflows. · Implement MLOps and LLMOps. · Design vector search and semantic retrieval solutions. · Deploy AI applications on Azure AI Foundry or Amazon Bedrock. · Mentor engineering teams. · Establish AI governance standards.