9 Openshift Ai Jobs

Must-Haves UI/UX + Frontend: 3-5 years (React.js/Next.js, Tailwind/Material UI, Figma/Adobe XD). Full-Stack/Backend: 2-3 years (Node.js, FastAPI, Spring Boot, REST/GraphQL APIs). AI Practical Use: 1-2 years applying AI in day-to-day life/ workflows (RAG pipelines, chatbots, embeddings, LLM-powered apps, AI-driven automation). Not just theory proven delivery. Cloud: Hands-on with AWS, Azure, or GCP deployment, containerization, CI/CD pipelines, monitoring. Preferred/Plus Red Hat / Virtualization: Experience with Red Hat Enterprise Linux (RHEL) and virtualization (KVM, VMware, Hyper-V). Bonus: Exposure to Red Hat AI, OpenShift AI , or similar hybrid cloud AI environments. Experience integratin...

Note : This is not ML or AI engineer role we are looking for someone who have good experience in Devops / Openshift with Helm chart experience Role & responsibilities : Build and maintain containerized applications using OpenShift, OpenShift AI, Kubernetes, and Helm charts. Integrate and optimize inference engines such as Triton and vLLM for scalable model serving. Lead model deployment, monitoring, and lifecycle management in production environments. Implement monitoring and alerting solutions using Grafana and Prometheus. Collaborate on GenAI and LLM projects, including Agentic AI initiatives. Automate CI/CD pipelines and infrastructure using Jenkins, Ansible, Groovy, and Terraform. Develo...

About The Job The Digital workforce team is part of Red Hat's Data and AI organization. The team is focused on building and delivering strategic AI agents designed to augment human capabilities, accelerate workflows, and scale operations across the enterprise. In this role, you will work as a member of a highly dynamic, and fast-paced team. As part of the development team, you'll need to be creative, motivated, and proficient in architecting and designing cutting-edge applications that leverage Generative AI. You will work closely with different teams, stakeholders, product owners, and program managers to design, document, and develop solutions. We are seeking talented engineers to spearhead...

The IT AI Application Platform team is seeking a Senior Site Reliability Engineer (SRE) to develop, scale, and operate our AI Application Platform based on Red Hat technologies, including OpenShift AI (RHOAI) and Red Hat Enterprise Linux AI (RHEL AI). As an SRE you will contribute to running core AI services at scale by enabling customer self-service, making our monitoring system more sustainable, and eliminating toil through automation. On the IT AI Application Platform team, you will have the opportunity to influence the complex challenges of scale which are unique to Red Hat IT managed AI platform services, while using your skills in coding, operations, and large-scale distributed system ...

About The Job The Digital workforce team is part of Red Hat's Data and AI organization. The team is focused on building and delivering strategic AI agents designed to augment human capabilities, accelerate workflows, and scale operations across the enterprise. In this role, you will work as a member of a highly dynamic, and fast-paced team. As part of the development team, you'll need to be creative, motivated, and proficient in architecting and designing cutting-edge applications that leverage Generative AI. You will work closely with different teams, stakeholders, product owners, and program managers to design, document, and develop solutions. We are seeking talented engineers to spearhead...

As a Senior Principal Software Engineer at Red Hat IT Innovation Team in Pune, India, you will be part of a dynamic team working on cutting-edge applications that leverage Generative AI. Your role will involve architecting, designing, and developing applications in Java, Python, and frameworks like Spring Boot, Quarkus, LangChain, and other frameworks. Collaborating with various teams and stakeholders, you will analyze business requirements, implement data models, and ensure application quality and maintainability. Key Responsibilities: - Architect, design, document, and develop applications in Java, Python, and frameworks like Spring Boot, Quarkus, LangChain, and others - Lead implementatio...

What were looking for: 4+ years of experience in Data Science 12 years of proven work in Machine Learning Minimum 2 years of experience in Deep Learning Proficiency in Python, Linux, and Containers (Docker/K8s) Hands-on with GenAI frameworks like LangChain, LlamaIndex, Hugging Face Transformers Experience deploying models using Vertex AI or Azure AI Currently contributing to a live project (public GitHub profile preferred) Key Responsibilities Deploy and manage AI workloads in hybrid cloud environments using RHEL AI and OpenShift AI, with guidance and training provided. Collaborate with teams to fine-tune and operationalize AI models, including large language models (LLMs), using tools like ...

The Digital Workforce team at Red Hat's Data and AI organization is dedicated to developing strategic AI agents that enhance human capabilities, streamline workflows, and optimize operations within the enterprise. As a member of our fast-paced development team, you will play a crucial role in architecting and designing cutting-edge applications that leverage Generative AI technology. Collaboration with various teams, stakeholders, product owners, and program managers will be essential as you contribute to the design, documentation, and development of innovative solutions within Red Hat's Digital Workforce. We are looking for skilled engineers who can lead the technological advancements and d...

What were looking for: 4+ years of experience in Data Science 12 years of proven work in Machine Learning Minimum 2 years of experience in Deep Learning Proficiency in Python, Linux, and Containers (Docker/K8s) Hands-on with GenAI frameworks like LangChain, LlamaIndex, Hugging Face Transformers Experience deploying models using Vertex AI or Azure AI Currently contributing to a live project (public GitHub profile preferred) Key Responsibilities Deploy and manage AI workloads in hybrid cloud environments using RHEL AI and OpenShift AI, with guidance and training provided. Collaborate with teams to fine-tune and operationalize AI models, including large language models (LLMs), using tools like ...