Crescendo Global
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Delhi · On-site · 4-7 Yrs · Aug 19
HR Consulting · 51 to 200 Employees · Gurgaon, India
At Crescendo Global, we're not just building a company—we're shaping a culture. A culture rooted in grit, passion, ambition, and inclusion, where every voice matters and every goal is backed by relentless dedication. We're reimagining what senior-level hiring should feel like—for both job seekers and employers—by making the experience strategic, empowering, and human. Our team is a collective of curious minds and bold thinkers, united by a shared mission: To leave a lasting impact through every connection we create. We don’t just recruit people who are great at what they do—we bring in individuals who love what they do, and who thrive in a workplace that values purpose as much as performance. This passion shines through in everything we do—it’s the energy that drives our success and the loyalty that powers our partnerships. As we proudly celebrate 11 years of excellence in 2025, Crescendo Global stands tall with over 4,100 successful placements, across 10+ functional domains and 20+ industries. Our niche recruitment expertise spans critical areas like Analytics & Technology, Sales & Marketing, Finance & Insurance, Supply Chain & Procurement, Strategy & Change, Industrial Engineering, HR, Legal, and Research. From shaping careers to transforming businesses, We’re here to make recruitment meaningful. Join us. Let’s sculpt the future, one impactful placement at a time. Toll-Free: 1800-103-3016
Hiring: Engineering
What employees say
+ Pathetic work culture ,extreme high pressure
− They make your exit very difficult
More reviews on the company profile.
Interview experience · Consultant Sales and Marketing Strategy
3 rounds: Screening round, HR round and business discussion with the Managing Director. The focus was mainly on your understanding of the sales domain and whether you are able to carry the conversation forward.
Average difficulty · India · 13 reports
More interview insightsJob description
Overview
AI Engineering Lead Position: AI Engineering Lead
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
Qualifications
- Location: Delhi NCR
- Functional Practices: Technology & Analytics Practice
- Job Type: Permanent
- Contact Name: Suleka K.
- Contact Email:
- Job Ref: 127005
- Published: about 11 hours ago
- AI Engineering Lead - Enterprise AI - 8-12 Years - Delhi NCRLocation 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.
- 4-8 years of software engineering experience, with 1-2 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
- Strong understanding of LLM application patterns including Prompt Engineering, RAG, Function/Tool Calling, and Structured Outputs
- 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
- 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
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