👋🏼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 DescriptionREQUIREMENTS:
- 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
Bachelor’s or master’s degree in computer science, Information Technology, or a related fields
Skills Required
- Total experience 7.5 - 9 years
- Strong hands-on experience in Java and Python
- Expertise in Microsoft Azure AI/ML services
- Experience with LLM application frameworks
- Strong experience in API development and system integration
- Experience building backend systems and scalable architectures
- Solid understanding of data structures and system design
- Familiarity with cloud-native deployments and CI/CD
- Experience with LLM tools/providers and AI-assisted development
- Strong problem-solving and communication skills
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.
-
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.
-
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.
-
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.
