> Markdown version of [/jobs/ext/3124774-python-ai-cloud-developer](https://www.wearedevelopers.com/jobs/ext/3124774-python-ai-cloud-developer). 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). --- # Python AI/Cloud Developer - **Company:** Career Soft Solutions, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, BigQuery, Cloud Computing, Continuous Integration, DevOps, Django Web Framework, Monitoring of Systems, Python (Programming Language), Performance Tuning, Cloud Services, Prometheus, Service Development Studio, Software Deployment, Software Engineering, Systems Integration, Web Application Frameworks, Datadog, Google Cloud, Enterprise Software Applications, Cloud Platform System, Cloud Monitoring, Spring Cloud, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Grafana, Generative AI, Backend, Git, Fastapi, Containerization, Kubernetes, Infrastructure Automation Frameworks, Machine Learning Operations, Virtual Agents, Cloudwatch, Restful APIs, Terraform, AWS EKS, Microservices - **Published:** September 28, 2026 - **Apply:** https://www.dice.com/job-detail/0aa12e4b-2839-446a-bc79-2eec6c2f2b84 ## About the Role We are seeking a highly skilled Senior Python AI/Cloud Developer to design, develop, and deploy scalable enterprise applications and AI-powered solutions. The ideal candidate will have strong expertise in Python-based service development, cloud-native technologies, Kubernetes, and foundational knowledge of Large Language Model (LLM) frameworks. This role will be responsible for building robust backend services, integrating AI capabilities, and deploying cloud-native applications in AWS or Google Cloud Platform environments., * 5+ years of experience in software development with strong hands-on Python expertise. * Extensive experience building RESTful APIs and backend services using Python frameworks such as FastAPI, Flask, or Django. * Hands-on experience developing and deploying microservices architectures. * Experience working in AWS and/or Google Cloud Platform cloud environments. * Strong understanding of Kubernetes and container orchestration. * Experience with cloud services including: + Google Cloud Platform: BigQuery, Airflow (Cloud Composer), GKE + AWS: EKS, Lambda, ECS, S3, CloudWatch * Understanding of AI/LLM concepts and practical exposure to LangChain and LangGraph. * Experience with Git, CI/CD pipelines, and DevOps practices. * Strong problem-solving and analytical skills. Preferred Qualifications * Experience implementing Generative AI use cases in enterprise environments. * Knowledge of Vector Databases, RAG (Retrieval Augmented Generation), and AI agent frameworks. * Familiarity with infrastructure-as-code tools such as Terraform. * Experience with monitoring and observability tools such as Prometheus, Grafana, DataDog, or Cloud Monitoring. * Exposure to MLOps and AI deployment best practices. * Experience working in Agile/Scrum environments. ## Description * Design, develop, and maintain scalable backend services and APIs using Python. * Build and optimize microservices-based applications for cloud environments. * Develop and integrate AI/LLM-powered solutions using frameworks such as LangChain and LangGraph. * Deploy, manage, and monitor applications on Kubernetes platforms. * Leverage cloud services within AWS and/or Google Cloud Platform to build secure and scalable solutions. * Work with cloud-native tools such as BigQuery, Airflow, GKE, Lambda, ECS/EKS, Cloud Functions, or equivalent services. * Collaborate with data engineers, architects, product teams, and business stakeholders to deliver enterprise-grade solutions. * Implement CI/CD pipelines and DevOps best practices for application deployment and monitoring. * Troubleshoot performance issues and optimize applications for scalability and reliability. * Participate in architecture discussions and contribute to technical design decisions. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [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) - [Supercharge your cloud-native applications with Generative AI](https://www.wearedevelopers.com/videos/950-supercharge-your-cloud-native-applications-with-generative-ai) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)