GenAI Engineer - Python/AWS
Summary
GenAI Engineer at Ascendion building and deploying production-ready generative AI applications in Python on AWS — developing LLM, RAG, and AI agent solutions, integrating them via APIs and microservices, and adding security, governance, and observability. Openings in Bangalore, Pune, or Chennai; 8-10 years of software experience.
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.
- 8 - 10 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.