- Location
- Bangalore (SDC) - Bagmane Tech Park, India
- Type
- Full-time
- Department
- Engineering
- Seniority
- Entry
- Experience
- 4+ years
- Education
- Master
- Source
- Workday
Description
Industry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior AssociateJob Description & Summary
The Opportunity
Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.
As a Generative AI Software Engineer, you will design and develop data-driven solutions that transform raw information into actionable insights and support business decisions within our Data and Analytics Engineering practice. As a Senior Associate you will build meaningful client connections, navigate complex workstreams, mentor junior team members, and apply critical thinking as you deliver assigned work with a focus on quality, technical growth, and adapting to changing client needs.
In this role at PwC Acceleration Center Bangalore, you will contribute to exploratory and descriptive analysis, statistical modeling, and data visualization efforts that support generative AI and broader analytics initiatives. You will also draw on tools, methodologies, and techniques to solve problems, interpret data, and translate business context into clear deliverables while developing your personal brand and expanding your technical skills.
Responsibilities
- 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.
What You Must Have
- At least a Bachelor's & Master's degree
- At least 4 years of experience
- Oral and written proficiency in English required
What Sets You Apart
- 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.
Travel Requirements
Not SpecifiedJob Posting End Date