Python GenAI developer

The team

Deloitte's Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.

Your work profile

Experienced Python Backend Engineer with expertise in Python, FastAPI, and Django for developing scalable RESTful APIs and backend services. Hands-on experience with Google ADK, Agentic AI frameworks, and LLM integrations to build conversational AI applications and AI agents.

Proficient in AWS, Docker, Kubernetes, Helm, and CI/CD pipelines for cloud-native deployments. Strong knowledge of relational and NoSQL databases, Redis caching, and Python AsyncIO. Well-versed in clean architecture, design patterns, and software engineering best practices with strong problem-solving and debugging skills.

Key skills required:

• Strong hands-on experience with Python, FastAPI, and Django.
• Experience designing and developing scalable RESTful APIs and backend services.
• Hands-on experience with Google ADK, Agentic AI frameworks, and Large Language Model (LLM) integrations.
• Experience building conversational AI applications, AI agents, and workflow orchestration systems.
• Hands-on experience with AWS cloud services and cloud-native application deployment.
• Experience with Docker, Kubernetes, and Helm for containerization and orchestration.
• Hands-on experience implementing CI/CD pipelines and DevOps best practices.
• Strong knowledge of relational and NoSQL databases, including schema design, indexing, query optimization, and connection pooling.
• Experience with Redis and caching strategies for performance optimization.
• Hands-on experience with asynchronous programming using Python AsyncIO.
• Strong understanding of object-oriented programming, clean architecture, design patterns, and software engineering principles.
• Excellent problem-solving, debugging, and collaboration skills.

Required Skills & Qualifications

• Education : Bachelor's or Master's degree in Computer Science, Information Technology
• Python
• FastAPI
• Django
• RESTful API Development
• Google ADK
• Agentic AI Frameworks
• Large Language Models (LLMs)
• Conversational AI & AI Agents
• AWS Cloud Services
• Docker
• Kubernetes
• Helm
• CI/CD Pipelines
• Relational & NoSQL Databases
• Redis
• Python AsyncIO
• Object-Oriented Programming (OOP)
• Clean Architecture & Design Patterns
• DevOps Practices
• Problem-Solving & Debugging

Location and Way of Working:

• Base location: Delhi