1 day ago
Bengaluru, IndiaMid Level
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 integrations with external systems and APIs.
- Manage PostgreSQL, MySQL, MongoDB, and DynamoDB data storage solutions for production AI applications.
- Use Kubernetes and DevOps practices, including Azure DevOps and GitHub Actions, to support deployment and scalability.
- Build and integrate APIs with Python frameworks including Flask and FastAPI.
- Collaborate with data scientists, engineers, and DevOps teams to deploy AI models.
- Set up data pipelines for model training and real-time inference.
- Analyze complex problems, manage assigned workstreams, maintain technical standards, build client relationships, and guide junior team members.
Requirements
- Bachelor's and master's degrees are required.
- Four years of experience are required.
- Oral and written proficiency in English is required.
- Proficiency with LangChain, Semantic Kernel, and LlamaIndex for integrating, scaling, and deploying production generative AI and agentic applications.
- Advanced Python expertise, including object-oriented programming, asynchronous programming with asyncio, concurrency, design patterns, memory management, and performance optimization.
- Strong knowledge of data structures, algorithms, software design principles, SOLID, and clean architecture.
- Hands-on cloud-native development experience with Azure or AWS, including serverless systems, microservices, and Kubernetes and Docker container orchestration.
- Experience with Java, C++, or C# and familiarity with WebSocket implementations.
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.