Job Description
Senior Manager - GenAI Full Stack Job Title: Senior Manager - GenAI Full Stack Experience: 5+Years Location: Gurgaon and Bangalore / Hybrid (as applicable) Employment Type: Full-Time Job Summary We are seeking a highly skilled Senior Manager - GenAI Full Stack to lead the design, development, and deployment of enterprise-grade Generative AI applications. The ideal candidate will have strong full-stack engineering expertise, experience integrating Large Language Models (LLMs) into production environments, and a proven ability to build scalable cloud-native solutions. In this role, you will architect application layers that connect AI/LLM backends with modern frontend experiences, manage API integrations, and drive end-to-end deployment across cloud platforms. Key Responsibilities Application Architecture - Design and develop scalable microservices to process LLM requests and responses. - Implement context management frameworks for GenAI applications. - Build and optimize real-time response systems using Server-Sent Events (SSE) and streaming architectures. - Ensure high availability, scalability, security, and performance of AI-driven applications. Frontend & Backend Integration - Develop seamless integrations between React/Next.js frontends and Python/FastAPI backends. - Optimize application performance for low-latency AI interactions. - Collaborate with product, AI/ML, and engineering teams to deliver intuitive user experiences. - Design and maintain robust APIs for AI-powered applications.
Cloud & DevOps - Deploy and manage AI applications on AWS, Azure, or Google Cloud Platform (GCP). - Build and maintain CI/CD pipelines for AI software components. - Containerize applications using Docker and orchestrate deployments using Kubernetes. - Monitor application performance, reliability, and deployment health. Required Skills Technical Skills - Solid programming experience in Python (FastAPI/Django). - Proficiency in JavaScript/TypeScript, React, Next.js, and Node.js. - Experience with Docker, Kubernetes, and Microservices Architecture. - Hands-on experience with AWS, Azure AI Services, or Google Cloud AI offerings. - Knowledge of API development, integrations, and backend services. - Experience working with LLMs, GenAI applications, AI agents, RAG frameworks, or AI-powered web applications. Preferred Skills - Experience with AI model deployment and inference optimization. - Familiarity with vector databases and modern AI application frameworks. - Understanding of MLOps and AI application lifecycle management. - Knowledge of streaming applications and real-time communication patterns. Qualifications - Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. - 4-7 years of relevant experience in Full Stack Development. - Recent and significant experience integrating AI/ML models into web applications. - Strong problem-solving, stakeholder management, and communication skills. Interested candidate can also directly share their resume on
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📌 Senior Manager_ GenAI Full Stack (Bengaluru)
🏢 EXL
📍 Bengaluru