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 fosters a purpose-led and values-driven work environment that rewards contributions, supports wellbeing, and offers inclusive benefits, flexibility programmes and mentorship.
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
LangChain framework development
Large Language Models (LLMs)
Retrieval Augmented Generation (RAG) systems
Advanced Python programming
Autonomous agent design and deployment
Vector databases and embedding models
API development and async programming
Nice-to-have
Container technologies Docker Kubernetes
Prompt engineering and LLM optimization
Development frameworks and tools
Modern software development practices
Monitoring and logging systems
Evaluation frameworks for agent performance
Inclusive and values-driven work culture
Key Requirements
3 to 7 years experience
Bachelor's degree in Computer Science or related field
Experience with autonomous agents and LLM APIs
Knowledge of safety principles and best practices
Proficiency in Python and async programming
Experience with LangChain / Crew.ai / SK / Autogen