AI Engineerfull Stack Generative AI

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 strong 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.

Years of experience : 5 to 8 Years

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.