Generative-AI Engineer (Agentic AI)

YASH Technologies; Pune District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

YASH Technologies seeks an Agentic AI Engineer to design, build, and deploy AI agents capable of reasoning, planning, and executing complex tasks across business domains. The role covers architecture, development, deployment, monitoring, and continuous optimization of production-grade systems powered by LLMs.

The candidate combines strong software engineering with expertise in agent frameworks, memory systems, and multi-agent orchestration, partnering with business stakeholders to shape use

Qualifications

• Experience designing AI agents powered by LLMs and planning execution across business domains.
• Ability to build foundations for agentic systems with multi-agent orchestration and guardrails.
• Familiarity with RAG pipelines, memory architectures, and production-grade deployment practices.

Responsibilities

• Design and implement agentic AI architectures, including ReAct and multi-agent coordinators.
• Translate business use cases into scalable agent workflows with handoffs and fallbacks.
• Develop prompt strategies for reasoning, task execution, and tool use.

Skills

LLM Applications

Agent Frameworks

Prompt Engineering

Memory Systems

Production Deployment

Tools

APIs & Microservices

Vector Databases

Monitoring & Logging

Job description

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 strong 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

• 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
• 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:
• 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
• Ensure robust error handling, retries, and fallback 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