Manager/Senior Manager, GenAI Full Stack - Immediate/early joiners only.Location : Gurgaon / BangaloreExperience : Manager (4 - 7 Years) | Senior Manager (8 - 12 Years)Employment Type : Full-TimeAbout the Role :We are looking for highly skilled Manager / Senior Manager - GenAI Full Stack professionals to architect, develop, and scale enterprise-grade Generative AI applications. This role is responsible for integrating GenAI capabilities into user-facing applications, building robust backend APIs, and ensuring seamless user experiences powered by Large Language Models (LLMs). The ideal candidate will possess strong expertise in full-stack engineering, cloud-native development, AI application architecture, and modern frontend/backend technologies, with hands-on experience deploying AI-powered solutions in production environments.Role Overview :Architect and lead the development of the application layer for enterprise Generative AI solutions. Build scalable platforms that connect LLM backends with high-performance web applications while managing API gateways, cloud deployments, security, and observability. The role requires close collaboration with AI/ML engineers, product teams, architects, and business stakeholders to deliver innovative GenAI-powered products.Key Responsibilities :1. Application Architecture :- Design and develop scalable microservices for AI-powered applications.- Architect systems to handle LLM requests, conversation management, context orchestration, and streaming responses using Server-Sent Events (SSE) and WebSockets.- Develop reusable frameworks and APIs for GenAI application development.- Drive scalability, reliability, security, and performance optimization across applications.2.



Frontend & Backend Integration :- Build and manage modern web applications using React.js and Next.js.- Develop backend services using Python frameworks such as FastAPI and Django.- Ensure seamless, low-latency integration between frontend applications and AI/ML services.- Design and implement RESTful APIs, authentication mechanisms, and enterprise-grade integrations.3. GenAI Integration :- Integrate Large Language Models (OpenAI, Azure OpenAI, Claude, Gemini, Llama, etc.) into enterprise applications.- Implement Retrieval-Augmented Generation (RAG) pipelines and conversational AI workflows.- Optimize prompt engineering, context handling, memory management, and response quality.- Collaborate with AI teams to deploy and operationalize models within production systems.4. Cloud & DevOps :- Lead deployment of AI applications on AWS, Microsoft Azure, or Google Cloud Platform.- Implement containerization using Docker and orchestration using Kubernetes.- Build and maintain CI/CD pipelines for application and AI service deployments.- Monitor system health, performance, security, and cost optimization.Required Skills & Qualifications :1. Educational Qualification :- Bachelor's or Master's Degree in Computer Science, Information Technology, Engineering, or related field.2.



Technical Skills :Programming & Backend :- Robust proficiency in Python.- Experience with FastAPI and/or Django.- Experience building scalable APIs and microservices.Frontend Development :- JavaScript and TypeScript expertise.- React.js and Next.js development experience.- Strong understanding of UI architecture and performance optimization.Cloud & Infrastructure :- Hands-on experience with AWS, Azure, or GCP.- Knowledge of cloud-native application development.- Experience with Docker, Kubernetes, and containerized deployments.- CI/CD implementation and DevOps best practices.Generative AI & Application Integration :- Experience integrating AI/ML models into enterprise applications.- Understanding of LLM-based application architecture.- Knowledge of prompt engineering, conversational AI, and RAG implementations.- Experience with AI APIs and model orchestration frameworks.Software Engineering :- System design and scalable application architecture.- API gateway management.- Observability, logging, monitoring, and security practices.- Performance tuning and optimization.Experience Requirements :1. Manager GenAI Full Stack :- 4 - 7 years of experience in Full Stack Development.- Strong recent experience integrating AI/ML models into web applications.- Hands-on expertise in React/Next.js and Python-based backend frameworks.- Experience deploying cloud-native applications in production environments.2. Senior Manager GenAI Full Stack :- 8 - 12+ years of experience in Full Stack Engineering and Solution Architecture.- Proven experience leading enterprise-scale application development teams.- Demonstrated expertise in designing and deploying AI-powered applications.- Strong stakeholder management and technical leadership capabilities.Preferred Skills :- Experience with Azure OpenAI, AWS Bedrock, Vertex AI, or similar AI platforms.- Exposure to LangChain, LangGraph, LlamaIndex, or AI orchestration frameworks.- Knowledge of vector databases and RAG architectures.- Experience in enterprise digital transformation and AI product development.- Understanding of AI governance, security, and compliance considerations. (ref:hirist.tech)

📌 Manager/Senior Manager - Full Stack & Generative AI (Gurugram)
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📍 Gurugram