IN_Associate_AI Engineer_GCC_Advisory_Hyderabad

Line of Service Advisory

Industry/Sector Not Applicable

Specialism SAP

Management Level Associate

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.

*Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more

about us

.

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. “

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

   

  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

Knowledge of agent alignment and safety considerations

 

  Years of Experience required:4 to 7yrs

Education Qualification:BE, ME,M.Tech,B.Tech,MBA,MCA

Education

(if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration

Degrees/Field of Study prefe…