AI Engineer_Full Stack Generative AI (Bengaluru)

Description We are looking for an AI Engineer with Full-Stack experience to build scalable, production-ready Generative AI and Agentic AI applications across frontend, backend, AI, and cloud.

Develop responsive frontend applications using React / Angular / Svelte. Build scalable backend services and REST APIs using Python and FastAPI. Design and develop AI agents and multi-agent workflows using Google ADK, LangChain, and LangGraph. Build RAG solutions using embeddings, vector search, metadata filtering, and reranking. Work with Vector Databases such as Vertex AI Vector Search, pgvector, Pinecone, Qdrant, or Weaviate. Integrate Gemini / Vertex AI and enterprise APIs into applications. Build document ingestion and knowledge-processing pipelines. Deploy scalable applications on GCP, including Cloud Run, Pub/Sub, GCS, Cloud SQL, and Secret Manager. Implement secure authentication using OAuth 2.0, JWT, OIDC, and IAM. Build asynchronous/event-driven services and optimize applications for performance, scalability, reliability, and cost. Implement testing, monitoring, logging, CI/CD, and production support.

Frontend React / Angular / Svelte JavaScript / TypeScript REST API integration Responsive UI development Backend Python FastAPI REST APIs Async programming PostgreSQL / SQL AI / GenAI Gemini / Vertex AI Google ADK LangChain / LangGraph RAG & Vector Databases Embeddings & semantic search Prompt engineering Tool/function calling Multi-agent workflows GCP Spanner Database Cloud & DevOps GCP Cloud Run Pub/Sub GCS Cloud SQL Docker CI/CD IAM / Secret Manager Cloud Logging & Monitoring Valuable to Have MCP (Model Context Protocol) Microsoft Graph API / Azure Entra ID AI evaluation and observability OpenTelemetry Terraform WebSockets / SSE Experience with enterprise AI applications Ideal Candidate A strong Full-Stack AI Engineer who can independently take a solution from UI → FastAPI backend