IN_Senior Associate_GenAI and Agentic AI Engineer _GCC_Advisory_Bangalore
Salary not listed • Bengaluru Millenia • Full-time
Posted 1d ago
About the job
At PwC, our data and analytics engineering team leverages advanced technologies to design and develop robust data solutions, transforming raw data into actionable insights for clients. Those in intelligent automation focus on process mining, designing automation solutions, and implementing intelligent process automation and digital workflow solutions to enhance operational efficiencies and reduce costs. This role is part of a purpose-led and values-driven work environment that drives innovation and enables tangible impact. We reward contributions, support wellbeing, and offer inclusive benefits, flexibility programs, and mentorship.
Responsibilities
- Design and implement autonomous agents using frameworks like LangChain, Crew.ai, SK, or Autogen.
- 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
- 3+ to 6+ years of experience.
- Hands-on experience building and deploying autonomous agents.
- Experience with the LangChain framework for developing applications.
- Experience with Retrieval Augmented Generation (RAG) systems.
- Experience with Large Language Models (LLMs) and their APIs.
- Solid understanding of safety principles and best practices for LLMs.
- Experience resolving hallucinations in LLM outputs.
- 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).
- Experience with multiple LLM providers (e.g., OpenAI, Anthropic).
- Experience with tools for agent orchestration and workflow management.
- Familiarity with Natural Language Processing (NLP) techniques.
- Experience with container technologies (Docker, Kubernetes).
- Understanding of semantic search and information retrieval concepts.
- Knowledge of agent alignment and safety considerations.
- Bachelor of Engineering, BE/Btech/MCA/Mtech/MBA degree required.