Role Overview

We are looking for an experienced GenAI Engineer with solid 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 robust hands-on GenAI expertise.
Robust 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.

📌 Full Stack Genai Developer Bengaluru (India)
🏢 Ascendion Engineering
📍 India