01Overview
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. .
