Chatbot Developer

Role Overview: As an innovative and hands-on RAG-Based Chatbot Developer, you will be responsible for building cutting-edge conversational systems that leverage Google Cloud Platform (GCP). Your work will revolve around LLMs, vector databases, and cloud-native application development. If you are passionate about exploring the capabilities of open-source LLMs, Retrieval-Augmented Generation (RAG), and possess a builders mindset, this role is tailored for you. Key Responsibilities: - Strong experience with RASA or similar open-source chatbot orchestration frameworks - Proficiency in Python with working knowledge of Django backend basics - Experience in building vector search pipelines with LlamaIndex, LangChain, and deploying them with vector databases - Deep familiarity with Google Cloud Platform, including Cloud Run, GKE, and Vertex AI - Hands-on experience using Model Garden, Vertex AI Flash models, and managing inference workflows on GCP Qualifications Required: - Prior experience with RASA or similar open-source chatbot orchestration frameworks - Proficient in Python with a good understanding of Django backend basics - Experience in developing vector search pipelines and deploying them using vector databases - Familiarity with Google Cloud Platform, including Cloud Run, GKE, and Vertex AI - Hands-on experience with Model Garden, Vertex AI Flash models, and managing inference workflows on GCP (Note: The job type is Full-time with benefits including health insurance and provident fund. The work location is in person.),