Full Stack + Gen AI Engineer (5-8 Years)

YMinds.AI; Bengaluru; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

YMinds.AI is hiring a skilled Full Stack + Gen AI Developer in Bengaluru. You will build scalable web apps and AI-powered products, with hands-on work across MongoDB, Node.js, React.js, TypeScript, Python and FastAPI. You will implement LLM features, RAG pipelines, vector databases, and AI workflows in production.

The role emphasizes end-to-end ownership, secure APIs, cloud integration with AWS, and best practices like CI/CD and automated testing.

Qualifications

• 5-8 years of experience building scalable full-stack applications.
• Hands-on with MongoDB, Express.js, React.js, Node.js, TypeScript, Python and FastAPI.
• Experience integrating Generative AI, LLMs, RAG pipelines, vector databases, and AI workflows.

Responsibilities

• Build scalable full-stack apps using React, TS, Node/Express, Python and FastAPI.
• Develop responsive, secure REST APIs and microservices.
• Integrate LLM-powered features, vector search, and AI agents.
• Manage data with MongoDB and integrate AWS services.
• Own features from design to deployment and production support.

Skills

Full-Stack Dev

Backend & API Dev

Generative AI

MongoDB & Cloud

Tools

Node.js

Express.js

React.js

TypeScript

Python

FastAPI

LangChain

LangGraph

Job description

Our client is seeking a skilled Full Stack + Gen AI Developer with 5-8 years of experience building scalable web applications and AI-powered products.

The ideal candidate should have strong hands-on expertise in MongoDB, Express.js, React.js, Node.js, TypeScript, Python, and FastAPI, along with practical experience integrating Generative AI, LLMs, RAG pipelines, vector databases, and agentic AI workflows into production applications.

Key Responsibilities

• Build scalable full-stack applications using React.js, TypeScript, Node.js, Express.js, Python, and FastAPI.
• Develop responsive, reusable, and high-performance user interfaces.
• Build secure REST APIs, microservices, and backend services.
• Develop and integrate LLM-powered features, RAG pipelines, vector search, and AI agents.
• Manage application data using MongoDB and integrate AWS cloud services.
• Own features across design, development, testing, deployment, and production support.
• Follow engineering best practices, including code reviews, automated testing, Git, and CI/CD.

Required Skills

• Full-Stack Development: 5-8 years of experience building scalable full-stack applications, with strong end-to-end feature development and software engineering fundamentals.
• Backend and API Development: Strong experience with Node.js, Express.js, Python, and FastAPI, including building REST APIs, microservices, authentication, authorization, and third-party integrations.
• Generative AI Development: Practical experience developing Generative AI and LLM applications using LangChain, LangGraph, RAG, prompt engineering, embeddings, vector databases, semantic search, and agentic AI workflows.
• Database, Cloud and DevOps: Hands-on experience with MongoDB, data modelling, aggregation pipelines, AWS services such as S3 and Lambda, Docker, Git, automated testing, and CI/CD pipelines.

Good to Have

• Familiarity with Kubernetes, Terraform, or CloudFormation.
• Experience deploying and monitoring LLM applications in production.
• Experience building B2B SaaS products.
• Open-source contributions.