About the role
Job Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs.
Responsibilities
- scalable backend and frontend development
- generative AI and LLM integration
- object-oriented design
- agentic AI workflows
- intelligent automation and orchestration
- cross-team coordination
- Agile/Scrum delivery
- delivery management
- technical discussions
- code reviews
- knowledge sharing
- prompt engineering
- BDD
- TDD
- API design
- microservices
- distributed system design
- authentication and authorization mechanisms
Mandatory skill sets
- Full-stack Engineer with AI
- Python
- Go
- TypeScript
- React
- Next.js
- FastAPI
- AWS
- Kubernetes
Education
Education qualification: BE/Btech/MCA/Mtech/MBA
Degrees/Field of Study required: Bachelor of Technology
Years of experience
4-7
Certifications
(if blank, certifications not specified)
Required Skills
OpenAI
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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