Description :
We are seeking a highly skilled Lead Engineer with strong expertise in Node.js, Conversational AI, and Large Language Model (LLM) or RAG-based systems. The ideal candidate will be responsible for architecting, designing, and leading the development of intelligent AI-driven conversational platforms, ensuring scalable and high-performing backend :
- Lead end-to-end design and development of AI-driven conversational applications and platforms.
- Architect, develop, and optimize backend systems using Node.js and MongoDB.
- Integrate Conversational AI, LLM, and RAG (Retrieval-Augmented Generation) components into production-grade solutions.
- Collaborate with cross-functional teams, including AI / ML engineers, front-end developers, and product owners, to deliver scalable and reliable features.
- Ensure best practices in code quality, security, and performance optimization.
- Provide technical leadership, mentorship, and code reviews for the engineering team.
- Stay updated on emerging trends in GenAI, NLP, and backend architecture to drive continuous :
- 10 to 15 years of software development experience, with at least 4+ years in a technical leadership role.
- Strong hands-on experience in Node.js and MongoDB.
- Proven expertise in Conversational AI, Chatbots, and GenAI frameworks.
- Experience working with LLMs (OpenAI, Anthropic, Azure OpenAI, etc.) or RAG-based solutions.
- Solid understanding of RESTful APIs, microservices architecture, and cloud environments Strong problem-solving and system design skills with a focus on scalability and performance.
- Excellent communication and leadership abilities.
Good to Have :
Experience with LangChain, Vector Databases (Pinecone, FAISS, Weaviate, etc.).Exposure to Python or AI pipeline orchestration tools.Familiarity with frontend technologies (React.js, Next.js) is a plus.(ref : hirist.tech)