The role focuses on designing and implementing autonomous agents using advanced frameworks like LangChain and Crew.ai to drive client operational efficiencies
Job Summary
The role focuses on designing and implementing autonomous agents using advanced frameworks like LangChain and Crew.ai to drive client operational efficiencies.
Candidates will be responsible for developing robust Retrieval Augmented Generation (RAG) systems and creating evaluation frameworks to ensure agent safety and performance.
PwC offers a vibrant community of solvers with inclusive benefits, mentorship programs, and flexibility to support personal and professional growth.
Matching Summary
The role focuses on designing and implementing autonomous agents using advanced frameworks like LangChain and Crew.ai to drive client operational efficiencies.
Skills & Requirements
Must-have
Advanced Python programming with async expertise
LangChain framework implementation
RAG system development and optimization
Vector databases and embedding models
LLM API integration and prompt engineering
Agent architecture and safety principles
Git CI/CD and testing practices
Nice-to-have
Multiple LLM providers experience
Docker and Kubernetes containerization
Semantic search and information retrieval
Agent alignment and safety considerations
Natural Language Processing techniques
Workflow management tools proficiency
Key Requirements
4 to 7 years of relevant experience
Bachelor's or Master's degree in Engineering, MBA, or MCA