In_senior Associate_robotic Process Automation_gcc_advisory_gurgaon
pwc.is
Advanced python programming with async
Langchain framework development
Retrieval augmented generation (rag) systems
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 and robotic 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 provides 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
Advanced Python programming with async
LangChain framework development
Retrieval Augmented Generation (RAG) systems
Large Language Models (LLMs) and APIs
Experience with vector databases and embedding models
Implementing RAG pipelines and knowledge retrieval
Nice-to-have
Multiple LLM providers experience
Agent orchestration and workflow management
Natural Language Processing (NLP) techniques
Container technologies like Docker and Kubernetes
Semantic search and information retrieval concepts
Agent alignment and safety considerations
Accepting Feedback and Active Listening
Agile Methodology
Analytical Thinking
Automation Framework Design and Development
Key Requirements
4 to 7 years experience
BE, ME, M.Tech, B.Tech, MBA, MCA degrees
Proficiency in async programming and API development
Knowledge of modern software development practices
Experience resolving hallucinations in AI outcomes