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 (18000+ 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!

Job Description

REQUIREMENTS:

• Total experience 7.5 – 9 years
• Strong hands-on experience in Java and Python (Must Have)
• Expertise in Microsoft Azure AI/ML services
• Experience with LLM application frameworks (LangChain, LangGraph, or similar)
• Strong experience in API development and system integration
• Experience building backend systems and scalable architectures
• Solid understanding of data structures, system design, and distributed systems
• Familiarity with cloud-native deployments, CI/CD, and observability tools
• Experience with LLM tools/providers and AI-assisted development (Good to Have)
• Strong problem-solving and communication skills

RESPONSIBILITIES:

• Design and develop autonomous AI agents capable of multi-step reasoning and decision-making
• Build and orchestrate agent workflows using modern frameworks (LangChain, LangGraph, etc.)
• Integrate AI agents with APIs, databases, and SaaS platforms for end-to-end automation
• Develop prompt engineering strategies, memory architectures, and tool integrations
• Deploy, monitor, and maintain AI agents in production environments
• Optimize agents for performance, scalability, latency, and cost efficiency
• Debug and improve agent behavior using testing, logging, and feedback loops
• Collaborate with cross-functional teams to embed AI solutions into business workflows
• Write clean, scalable, and production-ready backend code
• Stay updated with emerging AI/LLM trends and agent frameworks

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related fields