Full Stack Developer

• Job Responsibilities
• Design, develop, test, and maintain scalable full-stack web applications using modern frontend and backend technologies.
• Build responsive, user-friendly interfaces using React.js, Next.js, TypeScript, HTML5, CSS3, and modern UI frameworks.
• Develop secure and scalable backend services, RESTful APIs, GraphQL APIs, microservices, and server-side applications using Node.js, Python, Java, or similar technologies.
• Design and manage relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, and Redis.
• Integrate AI/ML and Generative AI capabilities into web and enterprise applications.
• Develop AI-powered features using OpenAI and other LLM APIs, Hugging Face, LangChain, LlamaIndex, and AI agent frameworks.
• Build RAG (Retrieval-Augmented Generation) systems using document processing, embeddings, vector databases, semantic search, and knowledge bases.
• Develop and integrate AI chatbots, virtual assistants, AI agents, recommendation systems, text-generation, summarization, classification, and document-intelligence solutions.
• Work with prompt engineering, structured outputs, function/tool calling, context management, and LLM evaluation.
• Implement vector databases and semantic search using technologies such as Pinecone, Qdrant, Weaviate, Chroma, or PostgreSQL/pgvector.
• Integrate AI models with existing applications through REST APIs, SDKs, webhooks, and event-driven architectures.
• Develop AI workflows capable of using external tools, APIs, databases, and enterprise systems.
• Implement authentication, authorization, RBAC, OAuth 2.0, JWT, API security, and data protection.
• Build and maintain cloud-native applications using AWS, Azure, or Google Cloud.
• Containerize applications using Docker and manage deployments using Kubernetes and CI/CD pipelines.
• Implement application monitoring, logging, performance optimization, error handling, and security best practices.
• Write clean, maintainable, reusable, and well-tested code using appropriate design patterns and software engineering principles.
• Develop automated unit, integration, API, end-to-end, and AI-specific tests.
• Optimize frontend performance, backend APIs, database queries, and AI inference costs and latency.
• Work with Git, GitHub/GitLab, branching strategies, code reviews, and collaborative development workflows.
• Design scalable architectures for SaaS, AI-powered platforms, APIs, and enterprise applications.
• Collaborate with product managers, UI/UX designers, QA engineers, DevOps engineers, data scientists, and other stakeholders.
• Analyze business requirements and translate them into technical solutions and development tasks.
• Research and evaluate emerging AI models, frameworks, developer tools, and automation technologies and identify opportunities for practical implementation.
• Ensure AI features are developed with appropriate security, privacy, reliability, responsible-AI, and data-governance practices.
• Troubleshoot production issues, perform root-cause analysis, and continuously improve application reliability and scalability.
• Maintain technical documentation covering architecture, APIs, deployment processes, AI workflows, and system integrations.

Job Type: Permanent

Pay: ₹13,150.64 - ₹15,000.00 per month

Work Location: In person