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 solid 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 fall backs

LLM & RAG Engin eering

- 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 dat abases

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 fallbac k logic.

Production Readiness & Operations

- Deploy agentic systems into production environments.
- Implement monitoring, logging, and evaluation frameworks for:Accuracy and task successLatency and cost efficiencySafety and policy complianceDesign and enforce guardrails to prevent hallucinations, unsafe actions, or data leakage.Continuously optimize system performance and cost

📌 Generative-AI Engineer (Agentic AI) (Pune)
🏢 Yash Technologies
📍 Pune