👋🏼 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- Design, develop, and maintain scalable Python-based APIs and backend services using FastAPI and related frameworks.
- Build, deploy, and optimize production-grade LLM applications using providers such as OpenAI and Anthropic.
- Design and implement end-to-end RAG solutions, including vector databases, semantic search, retrieval optimization, and chunking strategies.
- Develop and manage secure, scalable MCP servers and AI infrastructure.
- Build and orchestrate multi-agent systems to automate complex workflows and business processes.
- Create, test, and refine prompts, agent instructions, and LLM interactions to improve solution quality and performance.
- Leverage AI-assisted development tools (e.g., Claude Code, Cursor, GitHub Copilot) to accelerate software delivery and engineering efficiency.
- Implement event-driven architectures, messaging systems, and real-time communication patterns.
- Monitor, troubleshoot, and optimize AI and backend systems for performance, reliability, scalability, and security.
- Collaborate with cross-functional teams to deliver innovative AI solutions and establish engineering best practices.
- 8+ years of experience developing APIs with Python
- 2+ years of experience developing and experimenting with LLMs
- Hands-on, daily use of AI-assisted and agentic coding tools (e.g., Claude Code, Cursor, GitHub Copilot, autonomous coding agents) to write and refactor code, automate workflows, and optimize engineering processes.
- Strong experience with Python, particularly in building REST APIs using frameworks like FastAPI.
- Grounding in NLP and machine learning as they relate to building LLM systems
- Strong experience working with key LLM models APIs (e.g. OpenAI, Anthropic)
- Experience building, deploying, and securing MCP servers at scale.
- Understanding of multi-agent systems and their applications in complex problem-solving scenarios.
- Designing and implementing RAG systems end to end: vector databases, semantic search, retrieval quality, and chunking strategy.
- Experience with prompt writing for various use cases
- Experience with generative solutions released to prod, at scale, beyond POCs
- Proficiency with server-side events, event-driven architectures, and messaging systems.
- Strong critical thinking and systems thinking skills, with experience debugging, optimizing, and making sound engineering decisions across complex backend systems, not just solving isolated problems.
- Solid understanding of security best practices for backend systems, including authentication and data protection.
Nice-to-Have Skills:
- Experience with LLM guardrails
- Experience with LLM Frameworks (e.g. LangChain, LlamaIndex)
- Experience with LLM monitoring and observability
- Experience developing AI/ML technologies within large and business critical applications
- Building evaluation into LLM systems: eval harnesses, regression suites, LLM-as-judge, and offline/online quality metrics.
Skills Required
- 8+ years of experience developing APIs with Python
- 2+ years of experience developing and experimenting with LLMs
- Daily hands-on use of AI-assisted and agentic coding tools (Claude Code, Cursor, GitHub Copilot, autonomous coding agents)
- Strong experience building REST APIs with Python frameworks like FastAPI
- Grounding in NLP and machine learning related to LLM systems
- Experience with key LLM model APIs (OpenAI, Anthropic)
- Experience building, deploying, and securing MCP servers at scale
- Understanding of multi-agent systems and their applications
- Designing and implementing RAG systems: vector databases, semantic search, retrieval quality, chunking strategies
- Experience with prompt writing and refining LLM interactions
- Experience delivering generative solutions to production at scale (beyond POCs)
- Proficiency with server-side events, event-driven architectures, and messaging systems
- Strong critical and systems thinking; experience debugging and optimizing complex backend systems
- Solid understanding of backend security best practices, including authentication and data protection
- Experience with LLM guardrails
- Experience with LLM frameworks (e.g., LangChain, LlamaIndex)
- Experience with LLM monitoring and observability
- Experience developing AI/ML technologies within large, business-critical applications
- Building evaluation into LLM systems: eval harnesses, regression suites, LLM-as-judge, offline/online metrics
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.
