Pwc
Advisory
INAssociateAIEngineerGCCAdvisoryBangalore
“IN_Associate_AI Engineer_GCC_Advisory_Bangalore at Pwc. Skills: autonomous agents, LangChain, Crew.ai, SK, Autogen, RAG systems, LLMs, Python, vector databases, embedding models, prompt engineering, LLM optimization, Git, CI/CD, testing, Robotic Process Automation (RPA). 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”
What You'll Achieve.
achieve operational efficiencies; reduce costs; transforming raw data into actionable insights; enabling informed decision-making; driving business growth
Industry & Context.
Resolving hallucinations in the outcomes
No Work Visa Sponsorship, No Government Clearance Required
What They're Looking For.
Must Have
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), Robotic Process Automation (RPA)
Nice to Have
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
What You'll Do.
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
Building and deploying autonomous agents
Developing applications with LangChain framework
Retrieval Augmented Generation (RAG) systems
Large Language Models (LLMs) and their APIs
Resolving hallucinations in the outcomes
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
Robotic Process Automation (RPA)
How You'll Work.
Communication Scope
Communication
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