The role focuses on designing and implementing autonomous agents using frameworks like LangChain and Crew.ai to transform raw data into actionable insights
Job Summary
The role focuses on designing and implementing autonomous agents using frameworks like LangChain and Crew.ai to transform raw data into actionable insights.
Candidates will be responsible for developing robust Retrieval Augmented Generation (RAG) systems and creating evaluation frameworks to ensure agent performance and safety.
PwC offers a vibrant community of solvers with inclusive benefits, mentorship programs, and a values-driven environment that supports personal and professional growth.
Matching Summary
The role focuses on designing and implementing autonomous agents using frameworks like LangChain and Crew.ai to transform raw data into actionable insights.
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 principles
Natural Language Processing techniques
Key Requirements
4 to 7 years of relevant experience
Bachelor of Engineering or Master's degree in related field