[Hiring] Principal Engineer, Python Fullstack (React+GenAI) @Nagarro

Role Description

We are looking for a highly skilled professional to join our team, responsible for architecting and delivering AI-powered applications.

• Understand the client’s business use cases and technical requirements, converting them into elegant technical designs.
• Own the architecture and technical vision for AI-powered, user-facing applications built with Python, React, and Generative AI.
• Design scalable, secure, and cost-efficient backend platforms for LLM inference, RAG pipelines, and agent-based orchestration.
• Define frontend architecture and UX patterns for AI-native applications, including conversational interfaces, copilots, and intelligent dashboards.
• Lead the design and implementation of complex GenAI workflows that combine LLMs, tools, APIs, structured data, and user context.
• Establish engineering standards and best practices for prompt design, model integration, evaluation, and observability.
• Drive GenAI platformisation—building reusable components, SDKs, and frameworks used across multiple teams or products.
• Partner with product, design, data, and business leaders to translate strategic objectives into scalable technical solutions.
• Review critical designs and codebases, unblock teams on complex technical challenges, and raise the overall engineering bar.
• Lead technical discovery and solutioning for high-impact initiatives, including client or executive-facing workshops when required.
• Ensure enterprise readiness: security, privacy, compliance, governance, and responsible AI practices.
• Use AI-assisted development tools (e.g., Copilot, Claude Code) to accelerate delivery while maintaining production-grade quality.
• Map decisions with requirements and translate them to developers.
• Identify different solutions and narrow down the best option that meets the client’s requirements.
• Define guidelines and benchmarks for NFR considerations during project implementation.
• Write and review design documents explaining overall architecture, framework, and high-level design for developers.
• Review architecture and design on aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc.
• Develop and design the overall solution for defined functional and non-functional requirements; define technologies, patterns, and frameworks to materialize it.
• Understand and relate technology integration scenarios and apply these learnings in projects.
• Resolve issues raised during code/review through exhaustive systematic analysis of the root cause.
• Carry out POCs to ensure that suggested designs/technologies meet the requirements.

Qualifications

• Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Requirements

• Total experience of 11+ years.
• 10+ years of experience in software engineering, with strong depth in Python and modern frontend frameworks (React).
• Proven experience architecting and delivering production-grade Generative AI applications at scale.
• Deep understanding of LLM integration patterns, RAG systems, and AI-driven UX design.
• Strong system design skills across backend, frontend, and AI infrastructure layers.
• Experience defining technical strategy and influencing architecture across teams or pods.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and distributed systems.
• Strong grasp of security, privacy, and governance considerations for enterprise AI.
• Ability to translate ambiguous business problems into durable technical architectures.
• Excellent communication skills, with the ability to influence senior stakeholders and technical leadership.