Source description
About the role
Job Description DevOps / AI Engineer Location: Noida Employment Type: Full time . Job Summary We are seeking a skilled DevOps / AI Engineer to drive the continuous improvement, reliability, performance, and AI capabilities of the application. The role involves maintaining cloud infrastructure, CI/CD pipelines, AI integrations, monitoring, security, model optimization, and collaborating with product teams to deliver current features and an exceptional user experience. Key Responsibilities Manage cloud infrastructure, deployments and CI/CD pipelines. Monitor application health, uptime, scalability and security. Optimize AI workflows, prompts, models and inference performance. Integrate and maintain LLMs, APIs and vector databases. Implement logging, monitoring and automated testing. Improve app performance, reliability and response times. Collaborate with product, mobile and backend teams. Research and implement emerging AI technologies. Ensure data privacy and security best practices. Document systems and deployment processes. Required Skills & Qualifications Bachelor's degree in Computer Science or related field. 2+ years in DevOps, Backend or AI Engineering. Experience with AWS/GCP/Azure, Docker, Kubernetes and CI/CD. Python and API development experience. Experience with LLMs, prompt engineering, RAG/vector databases and AI APIs. Compensation: 398,797.26 - 1,617,025.59 per year Work Location: In person Job Description DevOps / AI Engineer Location: Noida Employment Type: Full time . Job Summary We are seeking a skilled DevOps / AI Engineer to drive the continuous improvement, reliability, performance, and AI capabilities of the application. The role involves maintaining cloud infrastructure, CI/CD pipelines, AI integrations, monitoring, security, model optimization, and collaborating with product teams to deliver current features and an exceptional user experience. Key Responsibilities Manage cloud infrastructure, deployments and CI/CD pipelines. Monitor application health, uptime, scalability and security. Optimize AI workflows, prompts, models and inference performance. Integrate and maintain LLMs, APIs and vector databases. Implement logging, monitoring and automated testing. Improve app performance, reliability and response times. Collaborate with product, mobile and backend teams. Research and implement emerging AI technologies. Ensure data privacy and security best practices. Document systems and deployment processes. Required Skills & Qualifications Bachelor's degree in Computer Science or related field. 2+ years in DevOps, Backend or AI Engineering. Experience with AWS/GCP/Azure, Docker, Kubernetes and CI/CD. Python and API development experience. Experience with LLMs, prompt engineering, RAG/vector databases and AI APIs. Compensation: 398,797.26 - 1,617,025.59 per year Work Location: In person
More at Luxara Holdings