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 a values-driven environment that supports 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.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
Advanced Python programming with async expertise
LangChain Crew.ai Autogen framework experience
RAG system development and optimization
Vector databases and embedding models
LLM API integration and prompt engineering
Agent safety principles and hallucination resolution
Nice-to-have
Multiple LLM provider experience including OpenAI
Docker and Kubernetes container technologies
Natural Language Processing techniques
Semantic search and information retrieval concepts
Agent alignment and safety considerations
Workflow management tools for orchestration
Key Requirements
2 to 3 years of relevant experience
BE, ME, M.Tech, B.Tech, MBA, or MCA degree
Bachelor of Technology or Master of Business Administration required