AI Platform Engineer

As a highly skilled and versatile Full Stack & AI Platform Engineer, your role will involve designing, developing, and maintaining scalable applications using technologies such as Python and Node.js for the backend, and React for the frontend. You will work with databases including PostgreSQL, MongoDB, and Scylla DB, ensuring high performance, responsiveness, and security of applications. Utilizing tools like Beekeeper Studio for efficient database management will be a part of your responsibilities. Key Responsibilities: - Design, develop, and maintain scalable applications using Python, Node.js for backend, and React for frontend. - Work with databases including PostgreSQL, MongoDB, and Scylla DB. - Utilize tools such as Beekeeper Studio for efficient database management. - Ensure high performance, responsiveness, and security of applications. In the realm of DevOps & Cloud Deployment, you will implement and manage CI/CD pipelines using GitHub, deploy, monitor, and optimize applications on cloud platforms like AWS/Azure/GCP, build and manage infrastructure-as-code and automation workflows, and ensure production readiness with scalability, reliability, and failover strategies. Containerization & Orchestration will involve designing and deploying microservices-based architectures using Docker and Kubernetes, managing container lifecycle, orchestration, and scaling in production environments, as well as handling troubleshooting of distributed systems in Kubernetes clusters. For AI Workflow Orchestration, you will develop and manage AI-driven automation workflows using n8n, LangChain, and LangGraph, integrate LLM-based applications into enterprise workflows, and build AI pipelines for automation, decision-making, and data processing. Additionally, you will design and implement Retrieval-Augmented Generation (RAG) architectures, work with Vector Databases for semantic search and retrieval, and enable efficient indexing, embedding, and query handling for AI applications. System Observability & Event Management will involve implementing observability frameworks including metrics, logs, and traces, ensuring monitoring, alerting, and incident response mechanisms, as well as working on event management systems for proactive issue detection and resolution. In terms of Version Control & System Management, you will use GitHub for version control, collaboration, and release management, work in Unix/Linux environments for system operations, scripting, and debugging. Qualifications Required: - Strong experience in Python, Node.js, and React. - Hands-on experience with MongoDB, PostgreSQL, ScyllaDB. - Proven experience in Docker & Kubernetes deployments. - Solid understanding of DevOps practices (CI/CD, automation, cloud deployment). - Experience with AI frameworks (LangChain, LangGraph, n8n). - Knowledge of RAG architecture and vector databases (FAISS or equivalent). - Familiarity with observability tools and event management systems. - Strong command of Unix/Linux systems. - Experience with GitHub workflows and collaboration. If interested, please share your resume to asmita.tripathi@coforge.com along with the following details: - Exp - Notice Period - Current CTC - ECTC - Current Location - Ok for Greater Noida As a highly skilled and versatile Full Stack & AI Platform Engineer, your role will involve designing, developing, and maintaining scalable applications using technologies such as Python and Node.js for the backend, and React for the frontend. You will work with databases including PostgreSQL, MongoDB, and Scylla DB, ensuring high performance, responsiveness, and security of applications. Utilizing tools like Beekeeper Studio for efficient database management will be a part of your responsibilities. Key Responsibilities: - Design, develop, and maintain scalable applications using Python, Node.js for backend, and React for frontend. - Work with databases including PostgreSQL, MongoDB, and Scylla DB. - Utilize tools such as Beekeeper Studio for efficient database management. - Ensure high performance, responsiveness, and security of applications. In the realm of DevOps & Cloud Deployment, you will implement and manage CI/CD pipelines using GitHub, deploy, monitor, and optimize applications on cloud platforms like AWS/Azure/GCP, build and manage infrastructure-as-code and automation workflows, and ensure production readiness with scalability, reliability, and failover strategies. Containerization & Orchestration will involve designing and deploying microservices-based architectures using Docker and Kubernetes, managing container lifecycle, orchestration, and scaling in production environments, as well as handling troubleshooting of distributed systems in Kubernetes clusters. For AI Workflow Orchestration, you will develop and manage AI-driven automation workflows using n8n, LangChain, and LangGraph, integrate LLM-based applications into enterprise workflows, and build AI pipelines for automation, decisio