
ai/ml
4 days ago
Job Title: RAG-Based Chatbot Developer (GCP + LLM Focus)
Location: Noida Job Type: Full-time
Experience Level: Mid to Senior Level Industry: AI/ML | SaaS | Cloud Platforms
Key Responsibilities:
● Architect and develop RAG-based chatbot systems using GCP-native services and Python.
● Orchestrate multi-turn dialogues using RASA, integrated with retrieval layers and vector databases.
● Build and manage ingestion pipelines using LlamaIndex, FAISS, ChromaDB, or Pinecone, deployed within GCP environments.
● Integrate and experiment with GCP Model Garden and Vertex AI Flash models for fast, production-grade inference.
● Work with both open-source LLMs and hosted inference APIs—deploy models or access APIs securely within Vertex AI or custom GKE environments.
● Collaborate on backend services (built in Django) to connect the chatbot with data sources, admin tools, and client-facing APIs.
● Deploy, scale, and manage services using Cloud Run, GKE, Pub/Sub, Cloud Functions, and Terraform.
● Monitor performance and reliability using Cloud Logging, Cloud Monitoring, and CI/CD pipelines on Cloud Build.
● Stay curious—test new models, evaluate prompt strategies, and prototype ideas using Colab, Vertex AI Notebooks, and sandbox environments.
Required Skills
● Must Have:
○ Strong experience with RASA or similar open-source chatbot orchestration frameworks. ○ Proficiency in Python with working knowledge of Django backend basics.
○ Experience 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.
Interested candidates can share their CV
Job Types: Full-time, Permanent
Pay: ₹300, ₹700,000.00 per year
Benefits:
- Health insurance
- Paid sick time
- Provident Fund
Work Location: In person
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