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Strong PwC brand and metro Noida increase competition, but niche GenAI agent skills narrow applicants.
GenAI engineering skills are transferable across industries, though agentic AI and advisory context add domain specificity.
Explicit 1–3 year requirement plus mandatory GenAI tech stack and vector/RAG expertise enforces strict shortlisting.
Design and implement autonomous AI agents using frameworks such as LangChain and optimize Retrieval Augmented Generation (RAG) systems for enhanced information retrieval and response generation.
Develop evaluation frameworks, monitoring, and logging systems to ensure agent performance, safety, and behavior transparency.
Contribute to improving agent architecture and capabilities while creating documentation and best practices for agent development.
1+ to 3+ years of relevant experience in AI and autonomous agent development.
Full-time degree in BE/B.Tech, MCA, M.Tech, or MBA is required.
Advanced Python programming skills, including async programming and API development.
Experience with vector databases, embedding models, implementing RAG pipelines, LLM APIs, and modern software development practices (Git, CI/CD, testing).
Experienced in developing and deploying autonomous AI agents using LangChain framework and related tools.
Skilled in RAG system design, prompt engineering, and resolving AI hallucination issues with a strong focus on safety and agent alignment.
Comfortable with agile development, continuous integration, and working with multiple LLM providers and container technologies.