Principal Engineer, Python Fullstack – React, GenAI

Nagarro

Principal Engineer, Python fullstack at Nagarro designing AI-powered applications using Python and React. Leading architecture and engineering standards for Generative AI applications.

Posted 6/27/2026full-timeRemote • 🇮🇳 IndiaLeadWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsGoogle Cloud PlatformPythonReact

About the role

Key responsibilities & impact

Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements
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
Mapping decisions with requirements and be able to translate the same to developers
Identifying different solutions and being able to narrow down the best option that meets the client’s requirements
Defining guidelines and benchmarks for NFR considerations during project implementation
Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers
Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed
Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it.
Understanding and relating technology integration scenarios and applying these learnings in projects
Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken
Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Requirements

What you’ll need

Total experience 11+ years
Should have 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.

Benefits

Comp & perks

Flexible work arrangements

ATS Keywords

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Hard Skills & Tools

PythonReactGenerative AILLM integrationRAG systemssystem designcloud platformsdistributed systemsAI-driven UX designtechnical architecture

Soft Skills

communicationinfluencingproblem-solvingleadershipcollaborationtechnical discoverysolutioninganalytical thinkingdecision-makingstakeholder management