Senior Manager

About the Role

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. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs.

Key Responsibilities

• Design and implement autonomous agents using LangChain / Crew.ai / SK / Autogen and other relevant frameworks
• Develop and optimize RAG systems for improved information retrieval and response generation
• Create robust evaluation frameworks for testing agent performance and safety
• Implement monitoring and logging systems for agent behavior
• Develop documentation and best practices for agent development
• Contribute to the improvement of agent architecture and capabilities

Requirements & Tech Stack

Hands-on experience with

• Building and deploying autonomous agents
• LangChain framework for developing applications
• Retrieval Augmented Generation (RAG) systems
• Large Language Models (LLMs) and their APIs
• Solid understanding of safety principles and best practices
• Resolving hallucinations in the outcomes

Mandatory Skill sets

• Advanced Python programming with expertise in async programming and API development
• Experience with vector databases and embedding models
• Proficiency in implementing RAG pipelines and knowledge retrieval systems
• Familiarity with prompt engineering and LLM optimization techniques
• Experience with development frameworks and tools
• Knowledge of modern software development practices (Git, CI/CD, testing)

Preferred Skill sets

• Multiple LLM providers (OpenAI, Anthropic, etc.)
• Tools for agent orchestration and workflow management
• Natural Language Processing (NLP) techniques
• Container technologies (Docker, Kubernetes)
• Understanding of semantic search and information retrieval concepts
• Knowledge of agent alignment and safety considerations

Qualifications

• BE/Btech/MCA/Mtech/MBA (Full Time)