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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 productiongrade agentic systems powered by Large Language Models (LLMs), integrated with enterprise tools, APIs, and data sources. This is a hands-on role requiring endtoend ownership from agent architecture and development through deployment, monitoring, evaluation, and continuous optimization. The ideal candidate combines robust software engineering fundamentals with deep expertise in LLM application design, agent frameworks, RetrievalAugmented Generation (RAG), memory systems, and multiagent orchestration . In addition to solid engineering skills, this role requires a product mindsetpartnering 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)PlanandExecuteToolusing agentsMultiagent systems and coordinators Build LLMpowered applications using modern foundation modelsTranslate business use cases into reliable, scalable agent workflows with transparent handoffs and fall backs LLM & RAG Engin eering Develop and optimize prompt engineering strategies for reasoning, task execution, and tool use. Implement RetrievalAugmented Generation (RAG) pipelines using structured and unstructured and manage agent memory systems, including: Shortterm (conversation/state) Longterm (vectorbased 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 .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.