Manager/Senior Manager, GenAI Full Stack - Immediate/early joiners only.

Location : Gurgaon / Bangalore

Experience : Manager (4 - 7 Years) | Senior Manager (8 - 12 Years)

Employment Type : Full-Time

About 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 :

- Strong 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.