Senior Associate_AI Engineer

Role Overview: At PwC, as a Senior Associate in the Advisory line of service specializing in SAP, you will be part of the data and analytics engineering team focusing on leveraging advanced technologies to design and develop robust data solutions for clients. Your role will involve transforming raw data into actionable insights, enabling informed decision-making, and driving business growth. Additionally, you will be involved in conducting process mining, designing automation solutions, and implementing intelligent process automation to help clients achieve operational efficiencies and cost reduction. 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, Retrieval Augmented Generation (RAG) systems, Large Language Models (LLMs) and their APIs, safety principles, and best practices - Resolve hallucinations in the outcomes - Mandatory Skill sets required: 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 include experience with multiple LLM providers, 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 Qualification Required: - Education Qualification: BE, ME, M.Tech, B.Tech, MBA, MCA - Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering - Years of Experience required: 4 to 7 years Additional Details: At PwC, you will be part of a vibrant community that leads with trust and creates distinctive outcomes for clients and communities. The purpose-led and values-driven work, powered by technology and innovation, will enable you to make a tangible impact in the real world. PwC offers equal employment opportunities without discrimination and strives to create an inclusive environment where each individual can contribute to personal and firm growth. Zero tolerance is maintained for discrimination and harassment based on various factors. Role Overview: At PwC, as a Senior Associate in the Advisory line of service specializing in SAP, you will be part of the data and analytics engineering team focusing on leveraging advanced technologies to design and develop robust data solutions for clients. Your role will involve transforming raw data into actionable insights, enabling informed decision-making, and driving business growth. Additionally, you will be involved in conducting process mining, designing automation solutions, and implementing intelligent process automation to help clients achieve operational efficiencies and cost reduction. 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, Retrieval Augmented Generation (RAG) systems, Large Language Models (LLMs) and their APIs, safety principles, and best practices - Resolve hallucinations in the outcomes - Mandatory Skill sets required: 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 include experience with multiple LLM providers, tools for agent orchestration and workflow management, Natural Language Processing (NLP) techniques, container technologies (Docker, Kubernetes), understanding of semantic search and info