Full-Stack AI Engineer (AI-Assisted Development)

Company Description

👋🏼 We're Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18 000+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.

Job Description

We are looking for a hands-on Full-Stack AI Engineer who can rapidly build and ship AI-enabled product capabilities across the manufacturing and supply chain product portfolio. This role is ideal for engineers who actively leverage AI coding assistants and can integrate LLMs into business applications. 

• Develop end-to-end features across frontend and backend stacks.
• Integrate LLMs and GenAI capabilities into products. 
• Build agent-based workflows and copilots for planners, buyers, and operations teams. 
• Implement Retrieval-Augmented Generation (RAG) solutions. 
• Develop AI-enabled experiences for forecasting, recommendations, and master-data management. 
• Use AI-first engineering approaches for design, coding, testing, and documentation. 
• Participate in architecture and technical decision-making. 

Qualifications

• 5+ years of software engineering experience
• Strong React, TypeScript & Node.js skills
• Hands-on experience with LLMs/GenAI (OpenAI, Azure OpenAI, Anthropic or similar)
• Experience with RAG, vector databases, LangChain, LangGraph or Semantic Kernel
• Strong Azure, CI/CD & containerization experience
• Hands-on experience with AI coding tools such as GitHub Copilot, Cursor, Claude Code, Windsurf or Microsoft Copilot
• Preferred: Agentic AI, supply chain/forecasting, planning or data engineering experience