Job Description
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 (18,500+ experts across 40 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 + years
- Strong hands-on expertise in Java and Python development within enterprise production environments
- Proven experience building AI-powered applications, autonomous agents, and intelligent workflow automation solutions
- Strong experience with Microsoft Azure AI and Machine Learning services
- Hands-on experience with LLM application frameworks such as LangChain, LangGraph, or similar agent orchestration platforms
- Strong knowledge of API development, microservices, and system integration patterns
- Experience integrating AI solutions with APIs, databases, SaaS platforms, and enterprise applications
- Solid understanding of prompt engineering, memory management, retrieval-augmented generation (RAG), and tool-calling architectures
- Experience designing scalable, secure, and cloud-native applications on Azure
- Strong software engineering fundamentals including system design, data structures, algorithms, and distributed systems
- Experience with CI/CD pipelines, containerization, monitoring, logging, and observability tools
- Strong problem-solving, stakeholder management, and technical leadership skills
- Experience deploying and supporting AI solutions in production environments
RESPONSIBILITIES:
- Design, develop, and deploy autonomous AI agents capable of reasoning, planning, and executing complex business workflows
- Build and orchestrate agent-based solutions using LangChain, LangGraph, and modern AI agent frameworks
- Develop scalable backend services, APIs, and integrations using Java and Python
- Integrate AI agents with enterprise systems, databases, third-party APIs, and SaaS platforms
- Design and implement advanced prompt engineering, memory architectures, and tool-use capabilities
- Deploy, monitor, and optimize AI agents in production environments for performance, reliability, and cost efficiency
- Establish evaluation frameworks, testing strategies, logging mechanisms, and feedback loops to continuously improve agent behavior
- Design cloud-native AI architectures leveraging Azure AI and Machine Learning services
- Collaborate with product, engineering, and data teams to embed AI capabilities into business-critical applications
- Troubleshoot complex technical issues across AI, application, integration, and cloud environments
- Provide technical leadership, conduct architecture reviews, and mentor engineering teams
- Stay current with emerging AI technologies, LLM advancements, agent frameworks, and industry best practices
- Ensure successful delivery of AI solutions that meet business, scalability, security, and operational requirements
Qualifications
Bachelor’s or master’s degree in computer science, Information Technology, or a related field
