**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. **Key Responsibilities** 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.



Required Skills **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 **Good 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 solid Full-Stack AI Engineer who can independently take a solution from UI ? FastAPI backend ? AI agents/RAG ? GCP deployment ? production monitoring, with strong software engineering, cloud, and Generative AI fundamentals. **Qualifications** B.Tech/B.E in any specialization, BCA in any specialization, BSC in any specialization. This job posting will remain open a minimum of 72 hours and on an ongoing basis until filled. **Job** Information Technology **Primary Location** India-Karnataka-Bengaluru **Schedule:** Full-time **Travel:** No **Req ID:** 263864 **Job Hire Type** Experienced Not Applicable #BMI N/A

📌 AI Engineer_Full Stack Generative AI (Bengaluru)
🏢 Burns & McDonnell
📍 Bengaluru