Key Responsibilities
- Design, develop, and maintain robust full-stack applications using React.js, TypeScript, and modern JavaScript frameworks.
- Build scalable and efficient backend services using Node.js, Python, or similar technologies.
- Architect, develop, and optimize RESTful and GraphQL APIs to support enterprise-grade applications.
- Integrate and leverage Large Language Model (LLM) APIs such as OpenAI, Anthropic, or equivalent platforms to create intelligent AI-driven solutions.
- Develop and maintain AI-powered applications, including chatbots, voice assistants, workflow automation tools, and conversational AI systems.
- Utilize AI orchestration frameworks such as LangChain and LangGraph to build complex AI workflows and agent-based architectures.
- Design and implement Retrieval-Augmented Generation (RAG) pipelines using embeddings, vector databases, semantic search, and knowledge retrieval systems.
- Engineer high-quality prompts and optimize context management strategies to improve model performance, relevance, and response accuracy.
- Implement effective grounding mechanisms, validation layers, guardrails, and monitoring systems to minimize AI hallucinations and ensure reliable outputs.
- Design and manage scalable database architectures, data models, and data processing workflows.
- Ensure application security through best practices in authentication, authorization, data protection, and secure API development.
- Collaborate closely with cross-functional teams to translate business requirements into scalable technical solutions.
- Optimize application performance, scalability, reliability, and maintainability across the technology stack.
- Develop automated testing strategies and contribute to CI/CD pipelines to ensure high-quality software delivery.
- Participate in code reviews, technical discussions, and architectural decision-making processes.
Pay: ₹30,000.00 - ₹50,000.00 per month
Work Location: In person