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
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.
Those in intelligent automation at PwC focus on conducting process mining, designing next generation automation solutions, and implementing intelligent process automation to help clients achieve operational efficiencies and reduce costs.
PwC offers a purpose-led and values-driven work environment that supports wellbeing, inclusive benefits, flexibility programmes, and mentorship to help employees thrive.
Matching 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.
Skills & Requirements
Must-have
Advanced Python programming with async
Building and deploying autonomous agents
LangChain framework development
Retrieval Augmented Generation (RAG) systems
Large Language Models (LLMs) APIs
Vector databases and embedding models
RAG pipeline implementation
Nice-to-have
Prompt engineering and LLM optimization
Natural Language Processing (NLP) techniques
Container technologies like Docker and Kubernetes
Agent orchestration and workflow management
Semantic search and information retrieval
Agent alignment and safety considerations
Agile Methodology and Continuous Process Improvement
Key Requirements
3 - 4 years experience
BE, BTech, MTech or MCA degree
Experience with multiple LLM providers
Knowledge of modern software development practices