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Role: AI/ML Engineer Agentic AI Location: Hyderabad Work Mode: Hybrid 5 Days Working Experience: 68 Years Work Timings: 11:00 AM 9:00 PM Job Summary We are looking for an experienced AI/ML Engineer specializing in Agentic AI to design, develop, and deploy enterprise-grade AI applications powered by LLMs. The ideal candidate should have strong expertise in Python, Agentic AI, RAG, LLMs, AI orchestration frameworks, and cloud deployment. Key Responsibilities Design and develop autonomous AI agents and multi-step AI workflows. Build Agentic AI solutions using LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel. Develop RAG pipelines using vector databases, embeddings, and knowledge retrieval techniques. Integrate AI agents with enterprise APIs, databases, SaaS platforms, and business applications. Implement tool calling, planning, reasoning, memory, feedback loops, guardrails, and failure recovery. Develop scalable AI services and APIs using Python. Deploy and manage AI applications using Docker, Kubernetes, and cloud-native services. Implement monitoring, logging, tracing, evaluation, and observability for production AI systems. Optimize AI applications for accuracy, latency, cost, security, and scalability. Implement responsible AI practices including data privacy, prompt-injection protection, and human-in-the-loop workflows. Required Skills 68 years of Software Engineering / AI/ML experience. Strong hands-on expertise in Python. Proven experience with Agentic AI and autonomous AI systems. Strong knowledge of LLMs OpenAI, Azure OpenAI, Anthropic, or open-source models. Experience with LangChain / LangGraph / CrewAI / AutoGen / Semantic Kernel. Strong experience in RAG, embeddings, vector databases such as FAISS, Pinecone, or Azure AI Search. Experience with REST APIs, SQL/NoSQL databases, and enterprise integrations. Hands-on experience with Azure, AWS, or GCP. Experience with Docker, Kubernetes, CI/CD, and production deployment. Understanding of AI evaluation, prompt engineering, observability, and security. Good to Have Multi-agent and hierarchical agent architectures. Enterprise Copilot development. Knowledge Graphs. LoRA / LLM fine-tuning. Reinforcement Learning. Event-driven architectures and message queues. Must-Have Skills Python | Agentic AI | LangGraph/LangChain | LLMs | RAG & Vector Databases | Azure/AWS/GCP | Docker/Kubernetes .
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.