Devops AI

Job Description:- Experience:-3 to 6 Location:-Bangalore We are seeking a highly skilled DevOps AI Engineer with proven experience in deploying and managing production-grade AI solutions powered by Large Language Models (LLMs). The ideal candidate should have successfully delivered real-world AI implementations in production environmentsnot just proof-of-concepts (POCs)and possess strong expertise in DevOps, cloud infrastructure, and CI/CD automation. Key Responsibilities Design, deploy, and maintain production-ready AI/LLM applications. Build scalable and secure infrastructure for AI workloads using cloud platforms. Develop and optimize CI/CD pipelines for AI model deployment and application releases. Implement MLOps best practices for model versioning, monitoring, and lifecycle management. Integrate LLMs with enterprise applications, APIs, databases, and vector databases. Automate infrastructure provisioning using Infrastructure as Code (IaC) tools. Monitor system performance, reliability, and security across AI deployments. Collaborate with AI engineers, software developers, and cross-functional teams to deliver production-grade AI solutions. Required Skills Proven hands-on experience with Large Language Models (LLMs) such as GPT, Llama, Claude, Gemini, or similar. Demonstrated experience delivering production AI/LLM implementations (not limited to POCs or prototypes). Strong expertise in DevOps practices and modern CI/CD pipelines. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). Proficiency with Docker, Kubernetes, Terraform, and Infrastructure as Code (IaC). Experience with Git, GitHub Actions, GitLab CI, Jenkins, or Azure DevOps. Knowledge of MLOps tools and workflows for model deployment and monitoring. Strong scripting skills in Python, Bash, or similar languages. Experience integrating REST APIs, microservices, and AI services. Understanding of security, scalability, logging, and observability best practices. Preferred Qualifications Experience with vector databases (Pinecone, Weaviate, Milvus, Chroma, or FAISS). Familiarity with LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks. Experience with Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, and model evaluation. Knowledge of GPU infrastructure, model optimization, and distributed deployments. Relevant cloud or Kubernetes certifications are a plus. Qualifications Job Description:- Experience:-3 to 6 Location:-Bangalore We are seeking a highly skilled DevOps AI Engineer with proven experience in deploying and managing production-grade AI solutions powered by Large Language Models (LLMs). The ideal candidate should have successfully delivered real-world AI implementations in production environmentsnot just proof-of-concepts (POCs)and possess strong expertise in DevOps, cloud infrastructure, and CI/CD automation. Key Responsibilities Design, deploy, and maintain production-ready AI/LLM applications. Build scalable and secure infrastructure for AI workloads using cloud platforms. Develop and optimize CI/CD pipelines for AI model deployment and application releases. Implement MLOps best practices for model versioning, monitoring, and lifecycle management. Integrate LLMs with enterprise applications, APIs, databases, and vector databases. Automate infrastructure provisioning using Infrastructure as Code (IaC) tools. Monitor system performance, reliability, and security across AI deployments. Collaborate with AI engineers, software developers, and cross-functional teams to deliver production-grade AI solutions. Required Skills Proven hands-on experience with Large Language Models (LLMs) such as GPT, Llama, Claude, Gemini, or similar. Demonstrated experience delivering production AI/LLM implementations (not limited to POCs or prototypes). Strong expertise in DevOps practices and modern CI/CD pipelines. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). Proficiency with Docker, Kubernetes, Terraform, and Infrastructure as Code (IaC). Experience with Git, GitHub Actions, GitLab CI, Jenkins, or Azure DevOps. Knowledge of MLOps tools and workflows for model deployment and monitoring. Strong scripting skills in Python, Bash, or similar languages. Experience integrating REST APIs, microservices, and AI services. Understanding of security, scalability, logging, and observability best practices. Preferred Qualifications Experience with vector databases (Pinecone, Weaviate, Milvus, Chroma, or FAISS). Familiarity with LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks. Experience with Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, and model evaluation. Knowledge of GPU infrastructure, model optimization, and distributed deployments. Relevant cloud or Kubernetes certifications are a plus. Qualifications