IN_Manager_GenAI and Agentic AI Engineer _GCC_Advisory_Bangalore
PwC IndiaMatch Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Design and implement autonomous AI agents using frameworks like LangChain, Crew.ai, and Autogen.
Develop and optimize Retrieval Augmented Generation (RAG) systems for enhanced information retrieval and response generation.
Create evaluation frameworks, monitoring systems, and documentation to ensure agent performance, safety, and continuous improvement.
Minimum Requirements
2 to 3+ years of relevant experience in autonomous AI agent development and RAG systems.
Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or related fields.
Advanced Python programming skills with expertise in asynchronous programming and API development.
Experience with vector databases, embedding models, prompt engineering, and modern software development practices (Git, CI/CD, testing).
Ideal Candidate Profile
Experienced with multiple Large Language Model (LLM) providers such as OpenAI and Anthropic and knowledgeable in LLM optimization techniques.
Practiced in agent safety, alignment, and resolving hallucinations in AI outcomes, indicating a focus on reliable AI deployment.
Familiar with container technologies (Docker, Kubernetes) and NLP techniques, capable of managing agent orchestration and workflow in production environments.
