Senior Staff Engineer (LLM)

In a changing and evolving world, challenges are ever more unique and complex. Nagarro helps to transform, adapt, and build new ways into the future through a forward-thinking, agile, and caring mindset. Today, we are 18,000+ experts across 38 countries, forming a Nation of Nagarrians, ready to help our customers succeed.

The nature of IT & digital product engineering has reached an incredible state of velocity and transition. We must adapt and meet it with an agile mindset that isn't afraid to iterate towards the perfect solution. If we only solve today's problems, it's not enough. We must do more. We must courageously embrace the future, with vision and clarity about where technology & business are heading. Thinking breakthroughs gets us there.  Nagarro - https://www.nagarro.com/en

• 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.

• 2+ years of experience developing and experimenting with LLMs
• 8+ years of experience developing APIs with Python

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.

Must have Skills : Python (Strong), FastAPI (Strong), Prompt Engineering with LLMs (Strong), Architecture (Strong), Agentic coding tools,