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Full Stack Engineer

🇮🇳 India

Next.js

Python

TypeScript

AWS

GitHub

Machine Learning

Design

Backend

Frontend

Devops

SQL

Full Stack Engineer

from 🇮🇳 India

Work Schedule

Other

Environmental Conditions

Office

Job Description

Summarized Purpose: 

We are looking for a Mid-Level Full Stack AI Engineer to build production-ready AI web applications using React/Next.js, TypeScript, Python, FastAPI, LLM APIs, RAG pipelines, vector databases, enterprise integrations, and AWS cloud deployment. 

Education/Experience: 

  • Bachelor's degree or equivalent in Computer Science, Information Technology, or related field 

  • 3-6 years of experience in full stack application development with exposure to AI/LLM-enabled application features 

Major Job Responsibilities: 

  • Develop responsive frontend application components using React/Next.js and TypeScript 

  • Build backend APIs and microservices using Python, FastAPI, and REST-based service patterns 

  • Integrate LLM APIs such as OpenAI or similar providers into business workflows and user experiences 

  • Implement RAG workflows, embeddings, vector database search, and tool/function calling under architectural guidance 

  • Collaborate with product, design, QA, DevOps, and senior engineers using GitHub workflows, JIRA, and Agile delivery practices 

Knowledge, Skills, and Abilities: 

  • Strong hands-on experience with React/Next.js, TypeScript, HTML, CSS, and component-based frontend development 

  • Experience with Python, FastAPI, REST APIs, microservices, SQL databases, and AWS cloud services 

  • Working knowledge of LLM APIs, prompt integration, RAG pipelines, embeddings, vector databases, and tool/function calling 

  • Familiarity with enterprise integration patterns, authentication, authorization, API security, CI/CD, GitHub, and JIRA 

  • Strong problem-solving, collaboration, debugging, and communication skills 

Must Have Skills: 

  • React/Next.js and TypeScript frontend development 

  • Python, FastAPI, REST API, and microservices development 

  • LLM API integration, RAG, vector databases, embeddings, and tool/function calling experience 

  • AWS cloud deployment, enterprise integrations, GitHub, JIRA, and Agile delivery experience 

Good to Have Skills: 

  • Experience using component libraries and adopting enterprise design systems 

  • Exposure to event-driven architecture, message queues, serverless services, or containerized deployments 

  • Knowledge of AI application security, data privacy, observability, performance tuning, and cost-conscious implementation 

Working Hours: 

  • India: 05:30 PM to 02:30 AM IST 

  • Philippines: 08:00 PM to 05:00 AM PHT 

by @maxrusakovic