Full Stack Genai Developer

Role Overview

We are looking for an experienced GenAI Engineer with strong hands-on expertise in Generative AI, Large Language Models (LLMs), RAG, and AI Agents. The ideal candidate should have experience building and deploying scalable, production-ready GenAI applications using AWS and Python. Frontend and backend development experience will be an added advantage but is not mandatory.

Key Responsibilities

• Design, develop, and maintain scalable GenAI applications using LLMs, RAG, and AI Agents.
• Integrate AI capabilities into customer-facing and employee-facing applications.
• Build and optimize GenAI solutions using AWS and cloud-native technologies.
• Develop and integrate APIs, microservices, and AI-powered application components.
• Implement security, governance, observability, and monitoring for AI-enabled solutions.
• Leverage AI-assisted development tools to improve software development efficiency.
• Collaborate with business and technology teams to deliver production-ready solutions.

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• 810 years of overall software development experience, with strong hands-on GenAI expertise.
• Strong proficiency in Python and experience with AWS services.
• Hands-on experience building applications using LLMs, RAG, and AI Agents.
• Experience with frameworks such as LangChain, LangGraph, or similar technologies.
• Understanding of APIs, microservices, CI/CD, testing, security, and software engineering best practices.
• Experience with AI-assisted development tools such as GitHub Copilot or Cognition Devin.
• Strong problem-solving and collaboration skills.

Good to Have

• Experience with frontend technologies such as React, Angular, or Vue.
• Experience with backend development and cloud-native application architecture.
• Experience deploying and managing GenAI applications in production environments.