Python GenAI Engineer (Backend & Agentic AI)

The Team

We are looking for a skilled Python GenAI Engineer with solid backend development expertise and hands-on experience in Generative AI, Agentic AI frameworks, and Large Language Model (LLM) integrations. The ideal candidate will be responsible for building scalable backend applications, AI-powered solutions, conversational AI systems, and intelligent workflow orchestration platforms.

Your Work Profile

- Design, develop, and maintain scalable backend applications using Python, FastAPI, and Django.
- Build and integrate RESTful APIs and backend services.
- Develop AI agents and conversational AI applications using Google ADK and Agentic AI frameworks.
- Integrate Large Language Models (LLMs) into enterprise applications and workflows.
- Design and implement AI-powered workflow orchestration systems.
- Deploy and manage cloud-native applications using AWS services.
- Containerize applications using Docker and manage deployments using Kubernetes and Helm.
- Implement CI/CD pipelines and follow DevOps best practices.
- Design, optimize, and manage relational and NoSQL databases.
- Implement Redis caching strategies to improve application performance.




- Develop asynchronous applications using Python AsyncIO.
- Follow clean architecture, object-oriented programming, and software engineering best practices.
- Troubleshoot, debug, and optimize backend services and AI applications.

Key Skills Required
- Strong hands-on experience in Python, FastAPI, and Django.
- Experience with Google ADK, Agentic AI frameworks, and LLM integrations.
- Knowledge of RESTful API development and backend architecture.
- Experience building AI agents and conversational AI applications.
- Hands-on experience with AWS cloud services.
- Proficiency in Docker, Kubernetes, and Helm.
- Experience with CI/CD pipelines and DevOps practices.
- Strong understanding of SQL and NoSQL databases.
- Experience with Redis and caching mechanisms.
- Knowledge of Python AsyncIO and asynchronous programming.
- Strong understanding of OOP, design patterns, and clean architecture.
- Excellent problem-solving, debugging, and communication skills.

Education Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.

📌 Python AI Engineer (Bengaluru)
🏢 Deloitte Shared Services India
📍 Bengaluru