Lead Consultant-1

Overview

Lead the design and development of full-stack web applications and Generative AI / LLM-powered solutions using React.js, Node.js, RAG, LangChain and LangGraph, acting as technical lead for full-stack and AI development initiatives.

What you'll do

• Lead the design and development of full-stack web applications using React.js and Node.js.
• Design and implement GenAI/LLM-powered applications using RAG and agentic AI approaches.
• Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise use cases.
• Build LLM workflows and AI agents using LangChain and LangGraph.
• Integrate LLMs with enterprise applications, APIs, databases, and external services.
• Design RESTful APIs and backend services using Node.js.
• Develop responsive and scalable front-end applications using React.js.
• Work with vector databases, embeddings, document processing, and semantic search.
• Implement prompt engineering, context management, evaluation, and optimization of LLM applications.
• Design multi-step AI workflows, tool calling, agent orchestration, and state management using LangGraph.
• Ensure AI solutions are scalable, secure, reliable, and production-ready.
• Collaborate with architects and technical teams to define application and AI solution architecture.
• Conduct code reviews, establish development best practices, and mentor junior developers.
• Troubleshoot application and AI/LLM-related performance and production issues.
• Stay current with emerging GenAI, LLM, AI Agent, and full-stack development technologies.

What you'll need

• 7–12 years of software development experience with strong hands-on development expertise.
• Strong experience in React.js and modern front-end development.
• Strong experience in Node.js and backend/API development.
• Hands-on experience building Generative AI / LLM applications.
• Strong understanding of RAG (Retrieval-Augmented Generation) architecture and implementation.
• Hands-on experience with LangChain.
• Hands-on experience with LangGraph and agentic workflows.
• Experience working with LLM APIs such as OpenAI, Azure OpenAI, Anthropic, or similar.
• Strong knowledge of Python or JavaScript/TypeScript for AI application development.
• Experience with REST APIs, microservices, databases, and third-party integrations.
• Good understanding of vector databases, embeddings, chunking, retrieval, and semantic search.
• Strong understanding of software design principles, architecture, and development best practices.
• Act as a technical lead for full-stack and AI development initiatives.
• Translate business requirements into scalable technical solutions.
• Provide technical guidance and mentorship to development teams.
• Drive architecture, design decisions, code quality, and engineering standards.
• Communicate effectively with technical and non-technical stakeholders.
• Take ownership of deliverables from design through development, deployment, and production support.

Details

• Location: Remote - Bangalore, India.
• Candidates should be curious, adaptive and willing to engage with AI tools as part of their work.