Fullstack Developer - Gen AI- US MNC

Aspyra Hr Services; Pune District, Gurugram District, Bengaluru; Hybrid; INR 900,000 - 1,300,000; Full time

Job summary

Aspyra Hr Services in India seeks an experienced Fullstack GenAI Engineer (3+ years) to design and build end-to-end GenAI applications across frontend and backend. You will develop scalable APIs with Python and FastAPI/Node.js and create responsive UI with React.js or Next.js.

You'll integrate LLMs from OpenAI/Azure/Gemini, work with vector databases, and deploy on cloud platforms using Docker and CI/CD in a PAN India remote setup.

Qualifications

• 3+ years of software/full-stack development experience with strong GenAI/LLM exposure.

Responsibilities

• Design and develop end-to-end GenAI applications across frontend and backend.
• Build LLM, RAG and Agentic AI solutions using LangChain/LangGraph.
• Develop scalable APIs and backend services using Python, FastAPI/Flask/Node.js.
• Build responsive user interfaces using React.js/Next.js.
• Integrate LLMs such as OpenAI, Azure OpenAI, Gemini or Anthropic.
• Work with vector databases such as Pinecone, FAISS, Chroma or Weaviate.
• Develop and optimize AI workflows, prompts, evaluation and model integrations.
• Deploy applications on AWS/Azure/GCP using Docker and CI/CD.

Skills

Python

React.js

Next.js

FastAPI

Node.js

SQL

LLM

Gen AI

Tools

LangChain

LangGraph

Docker

AWS

Azure

GCP

Git

Job description

Full Stack: Fullstack GenAI Engineer

Location: PAN India

Experience: 3+ Years

Type: Permanent Full-Time

Mandatory Skills: Python, (React.js OR Next.js), (FastAPI OR Node.js), SQL, LLM & GEN AI

Role & Responsibilities:

• Design and develop end-to-end GenAI applications across frontend and backend.
• Build LLM, RAG and Agentic AI solutions using LangChain/LangGraph.
• Develop scalable APIs and backend services using Python, FastAPI/Flask/Node.js.
• Build responsive user interfaces using React.js/Next.js.
• Integrate LLMs such as OpenAI, Azure OpenAI, Gemini or Anthropic.
• Work with vector databases such as Pinecone, FAISS, Chroma or Weaviate.
• Develop and optimize AI workflows, prompts, evaluation and model integrations.
• Deploy applications on AWS/Azure/GCP using Docker and CI/CD.

Preferred Candidate Profile:

• 3+ years of software/full-stack development experience with strong GenAI/LLM exposure.
• Strong hands-on Python + React + API development experience.
• Practical experience building production-grade RAG/AI Agent applications.
• Strong understanding of SQL, cloud platforms, Git and modern software engineering practices.