The Agentic AI Engineer is responsible for designing, building, and deploying intelligent, AI agents capable of reasoning, planning, and executing complex tasks across business and technical domains. This role focuses on production‑grade agentic systems powered by Large Language Models (LLMs), integrated with enterprise tools, APIs, and data sources.

This is a hands-on role requiring end‑to‑end ownership — from agent architecture and development through deployment, monitoring, evaluation, and continuous optimization. The ideal candidate combines strong software engineering fundamentals with deep expertise in LLM application design, agent frameworks, Retrieval‑Augmented Generation (RAG), memory systems, and multi‑agent orchestration

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In addition to robust engineering skills, this role requires a product mindset—partnering with business stakeholders to shape use cases, select appropriate agentic tools and frameworks, and translate user needs into scalable technical solutions

Key Responsibilities
Agent Architecture & Development
Design and implement agentic AI architectures,



including:ReAct (Reason +Act)Plan‑and‑ExecuteTool‑using agentsMulti‑agent systems and coordinators
Build LLM‑powered applications using modern foundation modelsTranslate business use cases into reliable, scalable agent workflows with clear handoffs and fallbacks

LLM & RAG Engineering
Develop and optimize prompt engineering strategies for reasoning, task execution, and tool use.
Implement Retrieval‑Augmented Generation (RAG) pipelines using structured and unstructured data.Design and manage agent memory systems, including:
Short‑term (conversation/state)
Long‑term (vector‑based memory)Work with vector databases

Tooling, APIs & Integration
Build and integrate internal and external tools (APIs, microservices, enterprise systems).
Enable agents to safely interact with:
DatabasesBusiness applications
Automation platformsCloud services
Ensure robust error handling, retries, and fallback logic.

Pro

📌 Generative-AI Engineer (India)
🏢 Yash Technologies
📍 India