Lead Software Engineer

As a Lead Software Engineer in this role, you will be responsible for various aspects of full-stack development using the MERN stack (MongoDB, Express.js, React, Node.js). Your key responsibilities include: - Leading full-stack development using the MERN stack. - Architecting, designing, and implementing scalable backend services and RESTful APIs. - Building, optimizing, and maintaining responsive, dynamic UI using React and modern CSS frameworks. - Integrating AI/ML workflows, including NLU, LLM-based solutions, and Generative AI techniques. - Developing conversational AI solutions using Dialogflow CX, Lex, Kore.ai, or similar. - Designing and optimizing conversation flows for chatbot applications. - Leading prompt engineering efforts and implementing Retrieval-Augmented Generation (RAG) pipelines. - Managing SQL and NoSQL database design, optimization, and performance improvements. - Troubleshooting complex system interactions, integrations, and data flows. - Deploying and managing cloud-native applications on Google Cloud or AWS. - Ensuring high code quality through code reviews, testing strategies, and best development practices. - Collaborating with cross-functional teams for requirement gathering and solution design. - Analyzing chatbot analytics and refining conversational models for effectiveness. - Mentoring junior developers and contributing to technical planning and architectural decisions. The qualifications required for this role include: - Strong hands-on experience in MERN stack (MongoDB, Express.js, React, Node.js). - Proficiency in Python and JavaScript. - Expertise in SQL (PostgreSQL/MySQL) and NoSQL databases. - Solid knowledge of RESTful APIs, integrations, and Webhooks. - Strong understanding of NLU, conversational AI tools (Dialogflow CX, Lex, Kore.ai). - Experience with LLM prompt engineering, RAG pipelines, and Generative AI concepts. - Proficiency in debugging, problem-solving, and real-time systems troubleshooting. - Cloud experience with Google Cloud (Cloud Run, GCF, Object Storage) or AWS (Lambda, EC2, S3). - Strong UI/UX mindset for conversation flow and chatbot design. - Familiarity with modern front-end build tools and performance optimization. - Ability to translate business requirements into scalable technical solutions. - Strong communication, analytical, and leadership skills. Additionally, preferred skills for this role include: - Hands-on experience with chatbot analytics and performance tuning. - Experience designing scalable microservices. - Exposure to DevOps workflows and CI/CD. - Experience working with automation-driven and AI-enhanced development tools. As a Lead Software Engineer in this role, you will be responsible for various aspects of full-stack development using the MERN stack (MongoDB, Express.js, React, Node.js). Your key responsibilities include: - Leading full-stack development using the MERN stack. - Architecting, designing, and implementing scalable backend services and RESTful APIs. - Building, optimizing, and maintaining responsive, dynamic UI using React and modern CSS frameworks. - Integrating AI/ML workflows, including NLU, LLM-based solutions, and Generative AI techniques. - Developing conversational AI solutions using Dialogflow CX, Lex, Kore.ai, or similar. - Designing and optimizing conversation flows for chatbot applications. - Leading prompt engineering efforts and implementing Retrieval-Augmented Generation (RAG) pipelines. - Managing SQL and NoSQL database design, optimization, and performance improvements. - Troubleshooting complex system interactions, integrations, and data flows. - Deploying and managing cloud-native applications on Google Cloud or AWS. - Ensuring high code quality through code reviews, testing strategies, and best development practices. - Collaborating with cross-functional teams for requirement gathering and solution design. - Analyzing chatbot analytics and refining conversational models for effectiveness. - Mentoring junior developers and contributing to technical planning and architectural decisions. The qualifications required for this role include: - Strong hands-on experience in MERN stack (MongoDB, Express.js, React, Node.js). - Proficiency in Python and JavaScript. - Expertise in SQL (PostgreSQL/MySQL) and NoSQL databases. - Solid knowledge of RESTful APIs, integrations, and Webhooks. - Strong understanding of NLU, conversational AI tools (Dialogflow CX, Lex, Kore.ai). - Experience with LLM prompt engineering, RAG pipelines, and Generative AI concepts. - Proficiency in debugging, problem-solving, and real-time systems troubleshooting. - Cloud experience with Google Cloud (Cloud Run, GCF, Object Storage) or AWS (Lambda, EC2, S3). - Strong UI/UX mindset for conversation flow and chatbot design. - Familiarity with modern front-end build tools and performance optimization. - Ability to translate business requirements into scalable technical solutions. - Strong communication, analytical, and leadership skills