IN_Senior Associate_GenAI and Agentic AI Engineer _GCC_Advisory_Bangalore
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Protocol Intelligence
Data-driven signals on your job's competitivenessPwC brand, metro location and mid-level role increase competition though niche GenAI/agent skills narrow the pool.
Core LLM and agent engineering skills transfer across industries, but agentic/consulting constraints raise moderate sensitivity.
Multiple mandatory technical requirements (LangChain, RAG, async Python, vector DBs, LLM safety) make shortlisting highly strict.
Job Description
Structured overview of role & requirementsAbout This Role
Design and implement autonomous agents leveraging frameworks like LangChain, Crew.ai, and Autogen.
Develop and optimize Retrieval Augmented Generation (RAG) systems and create robust evaluation and monitoring frameworks for agent performance and safety.
Document best practices and contribute to advancing agent architecture, focusing on improving capabilities and handling issues like hallucinations.
Minimum Requirements
2 to 3+ years of work experience in AI/automation engineering or related roles.
Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or related field; MBA or Bachelor of Technology preferred.
Advanced Python programming skills, including async programming and API development.
Experience with vector databases, embedding models, RAG pipelines, prompt engineering, large language models (LLMs), and modern software development tools (Git, CI/CD, testing).
Ideal Candidate Profile
Experienced in building and deploying autonomous agents using LangChain and similar frameworks with hands-on expertise in RAG and LLMs.
Strong understanding of safety principles in AI agent development and practical approaches to resolving AI hallucinations.
Capable of working with multiple LLM providers, managing agent orchestration workflows, and familiar with container technologies and NLP techniques.