🚀 Lead AI Engineer | Noon (Bangalore)
🏢 Company: Noon
New Hiring
📄 Job Description
Noon is hiring a Lead AI Engineer in Bangalore to build next-generation AI-powered design-to-code systems. The role focuses on architecting and developing agentic AI applications, code generation systems, intelligent code editing pipelines, and LLM-powered developer tools.
🛠 Key Responsibilities
- Architect and build AI-powered code generation and transformation systems
- Develop agentic AI workflows with multi-step tool calling and reasoning
- Create intelligent code editing pipelines for multi-file code changes
- Build design-to-code systems converting Figma designs into React components
- Develop benchmarking and model evaluation infrastructure
- Handle production deployment of LLM-powered applications
- Collaborate closely with product and engineering teams on AI initiatives
- Drive technical direction for AI application architecture and scalability
🎓 Eligibility Criteria
- 8+ years of Backend Engineering experience required
- 2+ years of hands-on experience with LLM APIs and prompt engineering
- Strong proficiency in TypeScript/Node.js and Python required
- Experience in code generation, code editing, or developer tools preferred
- Knowledge of agentic AI systems and tool-calling workflows required
- Hands-on experience in model evaluation and benchmarking preferred
- Experience with AST manipulation, tree-sitter, or LSP tools is a plus
- Strong understanding of production AI deployments required
⭐ Key Skills
- LLM Applications
- TypeScript / Node.js
- Python
- Prompt Engineering
- Agentic AI Systems
💰 Benefits
- Above-market compensation package
- Meaningful stock options and equity benefits
- Best-in-class family health insurance coverage
- Opportunity to work on cutting-edge AI product innovation
- High-ownership and collaborative engineering culture
⭐ Why Apply?
- Work on advanced AI systems shaping the future of design and development
- Build production-grade LLM applications and developer tools
- Collaborate with a high-performing AI-focused engineering team
- Strong career growth in Generative AI and applied AI engineering
🧠 Core Skills Required
- LLM Applications: Ability to build and deploy production-grade applications powered by Large Language Models.
- Prompt Engineering: Skills to design prompts, workflows, and tool-calling strategies for AI systems.
- TypeScript / Node.js: Strong backend development expertise for scalable AI application architecture.
- Python: Proficiency in AI development, model integration, automation, and backend engineering.
- Agentic AI Systems: Understanding of multi-step reasoning, autonomous workflows, and AI orchestration systems.
- Code Generation: Experience building AI systems for code editing, transformation, and automated development workflows.
- Model Evaluation: Ability to benchmark, evaluate, and optimize AI model performance effectively.
- System Architecture: Capability to architect scalable and reliable AI infrastructure for production environments.
🎤 How to Prepare for the Interview
- Revise concepts related to LLMs, prompt engineering, RAG pipelines, and AI application architectures.
- Prepare detailed examples of AI products, code generation systems, or backend systems you have built previously.
- Practice coding and system design questions focused on scalable AI infrastructure and backend engineering.
- Be ready to discuss agentic AI workflows, multi-step reasoning, and tool-calling implementations.
- Review concepts related to AST manipulation, code transformation, and developer tooling.
- Prepare to explain benchmarking methods, model evaluation metrics, and production AI deployment challenges.
- Research Noon’s AI vision, design-to-code systems, and developer tooling ecosystem before the interview.
📩 How to Apply
Interested candidates can apply using the official application link below.