This role focuses on designing and implementing robust data solutions using advanced technologies to transform raw data into actionable insights
Job Summary
This role focuses on designing and implementing robust data solutions using advanced technologies to transform raw data into actionable insights.
Candidates will be responsible for building autonomous agents and optimizing Retrieval Augmented Generation (RAG) systems to improve information retrieval.
PwC offers a vibrant community of solvers with inclusive benefits, flexibility programmes, and mentorship to support personal and professional growth.
Matching Summary
This role focuses on designing and implementing robust data solutions using advanced technologies to transform raw data into actionable insights.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
Advanced Python programming with async expertise
LangChain or Crew.ai framework experience
RAG system development and optimization
Vector databases and embedding models
LLM API integration and prompt engineering
Agent safety and hallucination resolution
Nice-to-have
Multiple LLM provider experience
Docker and Kubernetes containerization
Semantic search concepts
Agent alignment and safety knowledge
Natural Language Processing techniques
Workflow management tools
Key Requirements
4 to 7 years of relevant experience
Bachelor's degree in Engineering, MBA, MCA, or Master's degree
Proficiency in Git, CI/CD, and modern software practices