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 powered by technology that rewards contributions, supports wellbeing, and fosters 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
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
Agile Methodology
Analytical Thinking
Automation Framework Design and Development
Key Requirements
3 to 7 years experience
Bachelor's degree in Computer Science or related field
Expertise in autonomous agents and LLMs
Knowledge of safety principles and best practices
Proficiency with LangChain / Crew.ai / SK / Autogen
Experience with RAG pipelines and knowledge retrieval systems