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Research PaperPublished in JETNR (Impact Factor: 9.97)

Prompt Engineering in Multi-Agent Generative AI Systems: A Survey of Techniques, Design Patterns, and Open Challenges

Published in the Journal of Emerging Trends and Novel Research (JETNR). Volume 4, Issue 6 June 2026 | ISSN: 2984-9276 | Paper ID: JETNR2606027

Prof. Shweta Jain, Prof. Anju Pawar, Nishchay Gupta
June 2026
3 min summary

Research Summary

Prompt engineering has evolved from simple sentence inputs to a complex infrastructure mechanism directing agent identity, tool permissions, and system boundaries. As single-model techniques like zero-shot prompting and chain-of-thought are ported into multi-agent systems, new challenges arise.

This comprehensive survey analyzes over 35 works published between 2022 and 2026, revealing that prompt sensitivity propagates and amplifies in cascaded multi-agent architectures. The paper demonstrates that joint prompt-topology optimization is now a critical systems-level design problem, rather than an isolated tuning task.

Key Contributions:

  • A unified taxonomy of prompt engineering techniques spanning foundational methods to multi-agent design patterns.
  • Documentation of cascade amplification, where single-agent prompt sensitivity compounds across agent pipelines.
  • Identification of three critical open challenges in production systems: constraint prompt ambiguity, cross-model portability, and the lack of multi-agent evaluation standards.

Research by eMitra Technologies

This research was co-authored by our Co-Founder Nishchay Gupta, alongside Prof. Shweta Jain and Prof. Anju Pawar. It represents our foundational approach to building scalable, robust, and secure multi-agent systems for our clients.

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