IN_Associate_GenAI and Agentic AI Engineer _GCC_Advisory

Pricewaterhouse Coopers Service Delivery Center Kolkata
Posted on
Pricewaterhouse Coopers Service Delivery Center Kolkata logo

Experience
2 - 3 yrs
Salary (CTC)
₹13.9L - ₹20.2L
Job Location
Bengaluru, India
Vacancy
1
Designation
Artificial Intelligence Engineer
Job Type
Not specified

Job Description

Job Description Summary

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.

Responsibilities:

  • Design and implement autonomous agents using LangChain / Crew.ai / SK / Autogen and other relevant frameworks
  • Develop and optimize Retrieval Augmented Generation (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

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
  • 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
Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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