> Markdown version of [/jobs/ext/3700986-generative-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3700986-generative-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). --- # Generative AI Engineer - **Company:** TechniPros, LLC - **Location:** Denver, CO, United States (Remote available) - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Microsoft Azure, Cloud Computing, Cloud Engineering, Github, Python (Programming Language), OpenAI, Software Deployment, Data Logging, Google Cloud, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Google Vertex AI, Generative AI, Fastapi, AI Platforms, Kubernetes, Amazon Bedrock, CrewAI, Restful APIs, Terraform, Docker, Microservices - **Published:** October 12, 2026 - **Apply:** https://www.dice.com/job-detail/56facac5-c2e5-4823-9271-78c2c8e9b147 ## About the Role · Python · Generative AI · LLMs · Prompt Engineering · RAG · Azure AI Foundry · Amazon Bedrock · Google Vertex AI · Azure OpenAI · Docker · Kubernetes · Terraform · FastAPI · REST APIs · GitHub Actions · Azure DevOps · AWS · Google Cloud Platform Preferred Skills: · MCP · LangChain · LangGraph · CrewAI · AI Security · Responsible AI ## Description We are seeking a Cloud Generative AI Engineer with expertise in cloud-native AI development, production deployments, and enterprise AI integration using Azure AI Foundry, AWS Bedrock, or Google Vertex AI., · Develop cloud-native AI applications. · Build scalable RAG solutions. · Integrate AI services with enterprise APIs. · Develop secure AI microservices. · Deploy AI applications using Kubernetes. · Implement AI monitoring and logging. · Optimize cloud infrastructure for AI workloads. · Build CI/CD pipelines. · Implement AI governance and security.