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Designation AI Engineer Experience 3+ Year Job Location - Ahmedabad ( work from office) Job Title Agentic AI Engineer / AI Systems EngineerKey ResponsibilitiesDesign and implement agentic architectures using frameworks such as LangGraph, Langchain, CrewAI, OpenCLAW, or similar.Build multi-agent workflows that coordinate tasks and reasoning across different tools.Develop systems that combine RAG, structured tools, and reasoning chains.AI System EngineeringBuild and maintain multi-tenant AI infrastructure for scalable production systems.Implement caching strategies for AI calls to optimize performance and cost.Design LLM cost optimization strategies across prompts, models, and workflows.Reliability & ObservabilityBuild observability and monitoring systems for AI pipelines.Implement response evaluation frameworks to measure AI output quality.Track and detect system failures, hallucinations, and degradation over time.AI InfrastructureWork with vector databases, RAG pipelines, and context engineering techniques.Design scalable agent orchestration pipelines.Integrate AI agents with APIs, tools, and external services.Frontend & Product CollaborationWork with React-based interfaces for AI-powered applications.Provide input on AI product UX/UI design.Collaborate with product and engineering teams to build usable AI systems.Required SkillsAI Systems & ArchitectureStrong understanding of Agentic ArchitectureHands-on experience building LLM-powered agentsDeep knowledge of agent frameworks such asLangGraphCrewAIOpenCLAWor similar orchestration systemsLLM EngineeringStrong understanding of:Prompt engineeringContext engineeringRAG architecturesToken and cost optimizationAI System ReliabilityExperience with: Response evaluation frameworksAI observabilityFailure detection systemsGuardrails and evaluation pipelinesAI/ML KnowledgeUnderstanding of Transformers architectureKnowledge of LLM behavior, tokenization, and inferenceDevelopment SkillsPythonAPI designExperience building AI systems in productionReact (basic level for UI collaboration) .
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.