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 conduct process mining, design next generation automation solutions, and implement 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, inclusivity, mentorship, and innovation to enable employees to make a tangible impact.
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
Development of autonomous agents
LangChain framework expertise
Retrieval Augmented Generation systems
Large Language Models APIs
Vector databases and embedding models
RAG pipeline implementation
Nice-to-have
Multiple LLM providers experience
Agent orchestration and workflow tools
Natural Language Processing techniques
Container technologies like Docker and Kubernetes
Semantic search and information retrieval
Agent alignment and safety knowledge
Agile methodology and active listening
Key Requirements
3-4 years experience
BE, BTech, MTech, or MCA degree
Experience with async programming and API development
Knowledge of modern software development practices