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IN_Senior Associate_GenAI and Age0ntic AI Engineer _GCC_Advisory_Noida

Pwc
Bengaluru, IND
Full-time
Mid · 4+ years experience
Onsite
Discovered 2 days ago
LangChainCrew.aiSKAutogenRetrieval Augmented Generation (RAG)Large Language Models (LLMs)
Free

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Job Description & Summary

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.

About the job

Skill: GenAI and Agentic AI - Sr Associate

Experience Required: 4 to 7 years

Location: PAN India PwC locations

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
  • Years of experience required:
  • 4 to 7yrs
  • Education Qualification:
  • BE/Btech/MCA/Mtech/MBA
  • Education (if blank, degree and/or field of study not specified)
  • Certifications (if blank, certifications not specified)

Optional Skills

  • Desired Languages (If blank, desired languages not specified)

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