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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer - AI - **Company:** Cloudera, Inc. - **Location:** Austin, TX, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** HTML, Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, C Sharp (Programming Language), Cascading Style Sheets (CSS), Cloud Computing, Software Design Documents, Distributed Systems, R (Programming Language), Apache Hive, Python (Programming Language), Machine Learning, Node.Js, Performance Tuning, Tensorflow, Search Technologies, SQL Databases, Google Cloud, Enterprise Software Applications, ReactJS, Large Language Models, Prompt Engineering, Apache Spark, Generative AI, Kubernetes, HuggingFace, Machine Learning Operations, Nim (Programming Language), Grpc, Golang, Microservices - **Published:** July 16, 2026 - **Apply:** https://cloudera.wd5.myworkdayjobs.com/External_Career/job/USA--Texas--Austin/Staff-Software-Engineer---AI_261031 ## About the Role We look for "The Startup Spark", a desire to create new things, dive in wherever there's a need, eagerness to make an impact as an individual, and the willingness to learn new things. You must be self-motivated, innovative, and proactive. The role offers significant opportunities for growth., * Experience building and deploying AI Inference and Generative AI applications. * 8+ years of experience building scalable microservices or applications using Go, Python, Node.js, C# or Java * Experience with foundation models, prompt engineering, fine-tuning, semantic search and Retrieval-Augmented Generation (RAG) using vector databases such as Pinecone, Milvus, etc. * Experience with microservices design and development (Go, GRPC, SQL) on Kubernetes * Demonstrate ability to go deep into technology and complex distributed systems * Experience in crafting high-level and low-level design * Experience in building highly scalable, robust and secure enterprise applications * Self-driven and motivated, with a strong sense of ownership and craftsmanship * Strong written and verbal communication skills. * Bsc/Msc in related field or equivalent experience You may also have… * Experience with HuggingFace, Nvidia AI frameworks and Nim models. * Experience with AI/ML orchestration software KServe, Knative, Kubeflow. * Experience with building AI applications with machine learning models using data science and machine learning tools (Python, Tensorflow, Spark, MLflow, R, etc.) * Experience with at least one of the following Cloud technologies - Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure * Good to have some full-stack experience with React, HTML, CSS. * Experience with data science and machine learning tools (R, Python, Tensorflow, Spark) * Deep understanding of cloud-based networking * Experience using Big Data technologies like Spark, Hive etc. * Proven track record of collaborating with agile teams across geographically dispersed locations ## Description * Help build the leading platform for AI and Machine Learning in the enterprise. * Design, code, and implement elegant, scalable, enterprise-quality AI inference services powered by machine learning models. * Design and Develop AI Model Registry and AI applications * Work to enhance developer velocity and team agility. * Build strong relationships and collaborate with platform and front-end engineers, quality engineers, UX designers, as well as Product Management, Field, Professional Services, and other partners. ## Related Videos - [The Resilience of the World Wide Web](https://www.wearedevelopers.com/videos/1281-the-resilience-of-the-world-wide-web) - [Exploring the Power of gRPC-Gateway for Writing RESTful Services](https://www.wearedevelopers.com/videos/2072-exploring-the-power-of-grpc-gateway-for-writing-restful-services) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [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) - [NoLoJS - Avoiding JavaScript Cruft with HTML and CSS - Aaron T. 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