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AI Engineering Lead Enterprise AI - 812 Years Delhi NCR Location Delhi NCR Summary An exciting opportunity for an experienced AI Engineering professional to build and productionize enterprise-scale Generative AI, Agentic AI, and LLM applications. This role involves developing AI applications, copilots, and agentic workflows end-to-end, working with cutting-edge AI-native development tools and frameworks, and taking solutions from rapid prototypes to production. Your Future Employer A leading global analytics and information services organization known for its innovative, technology-driven solutions and strong focus on Enterprise AI, Generative AI, Agentic AI, and digital transformation across industries and global markets. Responsibilities Build AI applications, copilots, and agentic workflows end-to-end, including UI, APIs, business logic, and model integration Develop Agentic AI and GenAI solutions using modern SDKs and frameworks such as OpenAI Agents SDK, Anthropic Claude, Google Gemini/ADK, LangChain, and LangGraph Build RAG pipelines, implement tool/function calling, structured outputs, prompt engineering, and systematic testing/evaluations Rapidly convert loosely defined business requirements into working prototypes and refine solutions based on stakeholder feedback Productionize successful prototypes with appropriate monitoring, guardrails, security, and cost controls Work with enterprise data sources and APIs, managing authentication, rate limits, error handling, and integration requirements Requirements 48 years of software engineering experience, with 12+ years of hands-on experience building GenAI/LLM applications Strong programming skills in Python and/or TypeScript/JavaScript Hands-on experience with AI-native development tools such as Cursor, Claude Code, Replit, Google AI Studio, or GitHub Copilot Experience with Agentic AI SDKs/frameworks including OpenAI Agents SDK, Anthropic Claude APIs/Agent SDK, Google Gemini/ADK, LangChain or LangGraph Strong understanding of LLM application patterns including Prompt Engineering, RAG, Function/Tool Calling, and Structured Outputs Experience with vector stores such as pgvector, Pinecone, FAISS, or similar Experience building full-stack prototypes using React/Node and REST APIs is preferred Understanding of testing, evaluations, tracing, and observability using tools such as LangSmith, Langfuse, or similar Strong engineering fundamentals across Git, Docker, CI/CD, and at least one cloud platform AWS/Azure/GCP Whats in it for You Opportunity to build and productionize Enterprise GenAI and Agentic AI solutions Work with the latest AI-native development tools, LLMs, SDKs, and frameworks Opportunity to transform innovative prototypes into production-grade AI applications Exposure to complex enterprise AI use cases and cross-functional technology teams Reach Us If this opportunity aligns with your career goals, please share your updated CV at: Suleka.k@crescendogroup.in for a confidential discussion. Disclaimer Crescendo Global specializes in Senior to C-level niche recruitment. We are committed to providing a transparent and inclusive hiring experience. We do not discriminate based on race, religion, gender, age, or any other protected status. Fraud Alert Crescendo Global does not charge any fees or request monetary transactions from candidates. Please verify opportunities through our official website and report any suspicious activity immediately. Keywords: AI Engineering Lead, Enterprise AI, Generative AI, GenAI, Agentic AI, LLM, Artificial Intelligence, AI Engineering, AI Applications, AI Agents, OpenAI Agents SDK, Anthropic Claude, Google Gemini, ADK, LangChain, LangGraph, RAG, Retrieval Augmented Generation, Prompt Engineering, Function Calling, Tool Calling, Vector Databases, Python, TypeScript, JavaScript, React, Node.js, REST APIs, Cursor, Claude Code, Replit, Google AI Studio, GitHub Copilot, LangSmith, Langfuse, Docker, Git, CI/CD, AWS, Azure, GCP, MCP, Multimodal AI, LLM Ops, AI Runtime, Responsible AI, Secure AI, AI Observability. .
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.