Key Responsibilities Design and implement LLM architectures and AI pipelines using tools like OpenAI, LangChain, Rasa, or custom stacks Build and fine-tune intelligent conversational agents and chatbots that handle complex, multi-turn queries Develop retrieval-augmented generation (RAG) systems using vector databases (Pinecone, ChromaDB, Weaviate, etc.) Integrate structured datasets and APIs into context-aware, data-grounded AI responses Write robust backend services using Node.js or Python, with clean, modular architecture Collaborate with design, product, and data teams to bring scalable AI-powered features to life Stay current with advancements in LLM research, embedding models, and agentic AI Required Qualifications 3+ years of experience working as an AI/ML Engineer. M.T ech/M.S. in Artificial Intelligence, Machine Learning, Data Science, NLP , or a related specialization Strong experience in building and deploying LLM-powered applications or architectures Deep knowledge of LLM frameworks (OpenAI API, LangChain, Transformers, Hugging Face, etc.) Proficiency with Python or Node.js, REST APIs, and scalable system design Familiarity with vector stores and embedding pipelines (e.g., Pinecone, FAISS, ChromaDB) Bonus if you have a hands-on experience building production-grade AI chatbots or agents Bonus if you have an experience with cloud platforms (Render, Vercel, Railway, or Firebase) Preferred: Background from Tier-1 institutions (IITs, IISc, IIITs, NITs, etc.) What We Offer Opportunity to lead AI innovation in a mission-driven, fast-growing product Hands-on experience with real-world NLP applications and next-gen chatbot systems Collaborative, remote-friendly team environment with ownership-driven roles Competitive compensation + performance-based incentives Work on meaningful AI solutions with direct user impact

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