2 days ago
Bengaluru, IndiaSenior
Responsibilities
- Translate business needs into backend functionality for Generative AI and agentic AI projects.
- Design, develop, and maintain scalable backend solutions, including event-driven architectures and external system/API integrations.
- Manage PostgreSQL, MySQL, MongoDB, and DynamoDB data storage solutions for production AI applications.
- Use Kubernetes and DevOps practices, including Azure DevOps and GitHub Actions CI/CD pipelines, for deployment and scalability.
- Build and integrate APIs with Python frameworks including Flask and FastAPI.
- Collaborate with data scientists, engineers, and DevOps teams to support AI model deployment.
- Conduct exploratory and descriptive analysis, statistical modeling, and data visualization for generative AI and analytics initiatives.
- Mentor junior team members and manage complex client workstreams.
Requirements
- Bachelor’s and master’s degrees are required.
- At least 4 years of experience is required.
- Oral and written proficiency in English is required.
- Advanced Python expertise, including object-oriented programming, asynchronous programming with asyncio, concurrency, design patterns, memory management, and performance optimization.
- Experience integrating, scaling, and deploying Generative AI and agentic applications in production using LangChain, Semantic Kernel, and LlamaIndex.
- Experience setting up data pipelines for model training and real-time inference.
- Strong knowledge of data structures, algorithms, SOLID principles, clean architecture, and software design.
- Hands-on cloud-native development experience with Azure or AWS, including serverless systems, microservices, and container orchestration.
- Experience with Docker, Kubernetes, and WebSocket implementations.
- Experience with additional object-oriented languages such as Java, C++, or C#.
Tech Stack
Amazon DynamoDBAWSAzureC#C++DockerFastAPIFlaskGitHub ActionsJavaKubernetesMongoDBMySQLPostgreSQLPython
Categories
About PwC
PwC is a global network of professional services firms providing assurance, tax, and advisory work for businesses and public-sector clients. It sells project-based and managed consulting, audit, and deals services, and implements and integrates business applications. Formed in 1998 by the merger of Price Waterhouse and Coopers & Lybrand, it is headquartered in London and is one of the Big Four accounting firms.