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Generative AI / Agentic AI Engineer (Full Stack AI) Experience: 5-15 Years Location: Hyderabad | Bengaluru | Pune | Chennai | Gurgaon (Hybrid) Compensation: Open (Best in Industry) Industry: Consulting | AI Transformation | Digital Engineering About the Role We are looking for passionate Generative AI & Agentic AI Engineers to join a leading Big 4 Technology Consulting Practice. This role is ideal for engineers who enjoy building intelligent applications powered by Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), and modern cloud-native architectures. You will work with global enterprise clients to design and implement AI-powered assistants, autonomous agents, enterprise knowledge systems, AI workflows, and next-generation digital experiences that drive measurable business outcomes. Depending on experience, candidates will be aligned as Senior AI Engineer, Technical Lead, AI Solution Architect, or Engineering Manager. Key Responsibilities Generative AI Solution Development Design and develop enterprise-grade Generative AI applications. Build conversational AI platforms, copilots, virtual assistants, and intelligent automation solutions. Develop and optimize RAG pipelines using vector databases and enterprise content sources. Implement prompt engineering, context management, grounding, and response optimization techniques. Integrate LLMs with enterprise systems, APIs, databases, and business workflows. Agentic AI Development Build autonomous and semi-autonomous AI agents capable of planning, reasoning, and executing actions. Develop multi-agent systems for complex business workflows. Implement tool calling, memory management, orchestration, and agent collaboration patterns. Design agent evaluation frameworks and guardrails for enterprise use cases. Build workflow-driven AI solutions using agent frameworks and orchestration platforms. AI Engineering & Architecture Design scalable AI architectures for production deployment. Develop AI microservices and API-driven integrations. Build reusable AI components, prompt libraries, and enterprise accelerators. Ensure security, governance, observability, and compliance across AI solutions. Client & Consulting Responsibilities Work directly with business stakeholders to identify AI opportunities. Conduct discovery workshops and solution design sessions. Translate business requirements into scalable AI architectures. Guide clients through AI adoption and enterprise transformation initiatives. Required Technical Skills Programming Python (Mandatory) JavaScript / TypeScript REST APIs Microservices Architecture Generative AI OpenAI / Azure OpenAI Gemini / Claude / Open Source LLMs Prompt Engineering Function Calling / Tool Calling LLM Evaluation Fine-Tuning Concepts RAG & Knowledge Systems LangChain LlamaIndex Semantic Search Embedding Models Vector Databases Agentic AI AutoGen LangGraph CrewAI Semantic Kernel Multi-Agent Architectures Agent Orchestration Databases MongoDB PostgreSQL Vector Databases (Pinecone, Weaviate, ChromaDB, Azure AI Search) Cloud & DevOps Azure (Preferred) AWS / GCP Docker Kubernetes CI/CD Pipelines GitHub Actions / Azure DevOps AI Operations LLMOps Prompt Management Monitoring & Observability Model Evaluation AI Governance Responsible AI Practices Experience-Based Expectations Senior AI Engineer (5-8 Years) Build and deploy AI-powered applications. Develop RAG and Agentic workflows. Integrate LLMs into enterprise systems. Optimize prompts, costs, and performance. Technical Lead (8-12 Years) Lead AI engineering teams. Define architecture and implementation patterns. Review solution designs and deployment strategies. Mentor AI engineers and developers. AI Solution Architect / Engineering Manager (12-15 Years) Drive enterprise AI transformation programs. Architect large-scale AI platforms. Engage with CXOs and business stakeholders. Lead presales, proposals, and AI strategy initiatives. Preferred Qualifications B.E./B.Tech/M.Tech in Computer Science, AI, Data Science, or related disciplines. Experience delivering AI solutions in enterprise environments. Exposure to Consulting, Big 4, GCC, Product Engineering, or Digital Transformation programs. Azure AI Engineer, Azure OpenAI, AWS AI, or equival .
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.