Role & responsibilities
Collaborate with cross-functional teams to understand business needs and translate them into backend functionalities for GenAI and Agentic AI projects.
Proficient with LLM interaction frameworks like LangChain, Semantic Kernel, and LlamaIndex, and experienced in integrating, scaling, and deploying GenAI and agentic applications in production.
Skilled in setting up data pipelines for both model training and real-time inference to support AI workloads efficiently.
Advanced Python expertise including OOP, asynchronous programming (asyncio), concurrency (multithreading, multiprocessing), design patterns, memory management, and performance optimization for scalable GenAI systems.
Solid foundation in data structures, algorithms, software design principles (SOLID, clean architecture), and hands-on experience with cloud-native development on Azure/AWS, including serverless, microservices, and container orchestration (Kubernetes, Docker).
Experience with additional OOP languages (Java, C++, C#) and familiarity with WebSocket implementations for real-time application functionality.

📌 Generative Ai Software Engineer Bengaluru
🏢 PwC
📍 Bengaluru