Generative AI -Software Engineer-Senior Associate

Overview

Design and develop data-driven solutions that transform raw information into actionable insights, with a focus on Generative AI and agentic AI applications within PwC's Data and Analytics Engineering practice.

What you'll do

• Collaborate with cross-functional teams to understand business needs and translate them into backend functionalities for GenAI and Agentic AI projects.
• Design, develop, and maintain scalable backend solutions, including event-driven architectures and integration with external systems/APIs.
• Manage data storage solutions using relational (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases to support AI applications in production.
• Utilize containerization (Kubernetes) and implement DevOps practices, including CI/CD pipelines (Azure DevOps, GitHub Actions), for efficient deployment and scalability.
• Build and integrate APIs using Python frameworks (Flask, FastAPI) and collaborate with data scientists, engineers, and DevOps teams for seamless AI model deployment.
• Contribute to exploratory and descriptive analysis, statistical modeling, and data visualization efforts that support generative AI and broader analytics initiatives.
• Mentor junior team members and deliver assigned work with a focus on quality, technical growth, and adapting to changing client needs.

What you'll need

• Bachelor's and Master's degree.
• At least 4 years of experience.
• Oral and written proficiency in English.

Nice to have

• 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.
• Strong 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.

Details

• Location: PwC Acceleration Center Bangalore.