👋🏼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 (18,700 + 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 DescriptionREQUIREMENTS:
• Total experience 7.5+ years
• Strong experience in Python and Java development, coding and backend engineering
• Hands-on experience with Microsoft Azure AI/ML and cloud-based AI solutions
• Experience building and deploying AI agents for production environments
• Strong experience with LLM application frameworks such as LangChain, LangGraph or equivalent
• Experience with API development, integration, databases and external SaaS platforms
• Experience with prompt engineering, agent orchestration, memory architectures and tool-use capabilities
• Experience with scalable system design, distributed systems and asynchronous processing
• Experience with CI/CD, containers, cloud-native deployment and production monitoring
• Knowledge of observability, logging, debugging and AI agent evaluation frameworks
• Strong understanding of LLM providers and modern AI developer tools
• Excellent communication, collaboration and stakeholder management skills
RESPONSIBILITIES:
• Design, develop and deploy autonomous AI agents capable of multi-step reasoning, planning and decision-making
• Build and orchestrate agent workflows using LangChain, LangGraph and modern agent frameworks
• Integrate AI agents with APIs, databases and SaaS platforms for end-to-end task execution
• Develop prompt engineering strategies, memory architectures and tool-use capabilities
• Build production-ready backend services and APIs using Python and Java
• Deploy, monitor and maintain AI agents with focus on scalability, reliability and observability
• Optimize AI agent performance across latency, cost and reliability
• Debug, evaluate and continuously improve agent behavior through testing, logging and feedback loops
• Implement cloud-native deployment, CI/CD, monitoring and production support capabilities
• Collaborate with product, engineering and data teams to embed AI agents into business workflows
• Evaluate emerging LLM technologies, agent frameworks and applied AI best practices
• Provide technical guidance on AI agent architecture, integration and production adoption
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
Skills Required
- 7.5+ years of total professional experience
- Strong experience with Python and Java development, coding, and backend engineering
- Hands-on experience with Microsoft Azure AI/ML and cloud-based AI solutions
- Experience building and deploying AI agents in production environments
- Experience with LLM application frameworks such as LangChain, LangGraph, or equivalent
- Experience with API development, integrations, databases, and external SaaS platforms
- Experience with prompt engineering, agent orchestration, memory architectures, and tool-use capabilities
- Experience with scalable system design, distributed systems, and asynchronous processing
- Experience with CI/CD, containers, cloud-native deployment, and production monitoring
- Knowledge of observability, logging, debugging, and AI agent evaluation frameworks
- Strong understanding of LLM providers and modern AI developer tools
- Excellent communication, collaboration, and stakeholder management skills
- Bachelor's or master's degree in computer science, information technology, or a related field
Nagarro Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nagarro and has not been reviewed or approved by Nagarro.
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Pay Growth & Progression — Compensation is at times described as competitive, with salary hikes and perks occurring on certain occasions. Better growth opportunities and compensation are also positioned as an advantage versus other service-based companies.
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Flexible Benefits — Work arrangements are framed around a “work-from-anywhere” mindset with flexitime and family-friendly working models. This flexibility appears to add meaningful value to the overall rewards package for many roles.
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Healthcare Strength — Medical, dental, and vision coverage are described as available for employees and dependents, alongside life insurance. Mental-health support is also included via an Employee Assistance Program (EAP).
Nagarro Insights
What We Do
Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and sustainable. Today, we are 19,000 experts across 36 countries, forming a Nation of Nagarrians, ready to help our customers succeed.
