Principal Engineer, Python Fullstack – React, GenAI

This is a fully remote position, open to applicants in India.

📋 Description

• Comprehend the client's business use cases and technical specifications, and convert them into an elegant technical design that fulfills the requirements.

• Take ownership of the architecture and technical vision for AI-driven, user-facing applications developed using Python, React, and Generative AI.

• Design scalable, secure, and cost-effective backend platforms for LLM inference, RAG pipelines, and agent-based orchestration.

• Define frontend architecture and UX patterns for AI-native applications, such as conversational interfaces, copilots, and intelligent dashboards.

• Lead the design and execution of intricate GenAI workflows that integrate LLMs, tools, APIs, structured data, and user context.

• Establish engineering standards and best practices concerning prompt design, model integration, evaluation, and observability.

• Propel GenAI platformisation by constructing reusable components, SDKs, and frameworks utilized across various teams or products.

• Collaborate with product, design, data, and business leaders to translate strategic goals into scalable technical solutions.

• Evaluate critical designs and codebases, assist teams in overcoming complex technical challenges, and enhance the overall engineering standards.

• Lead technical discovery and solution development for high-impact projects, including client or executive-facing workshops when necessary.

• Ensure readiness for enterprise standards: security, privacy, compliance, governance, and responsible AI practices.

• Utilize AI-assisted development tools (e.g., Copilot, Claude Code) to expedite delivery while ensuring production-grade quality.

• Map decisions to requirements and effectively communicate these to developers.

• Identify various solutions and narrow down the best option that aligns with the client's needs.

• Define guidelines and benchmarks for non-functional requirements during project implementation.

• Compose and review design documents that articulate the overall architecture, framework, and high-level design of the application for developers.

• Review architecture and design from multiple perspectives such as extensibility, scalability, security, design patterns, user experience, and non-functional requirements, ensuring that all relevant best practices are adhered to.

• Develop and design comprehensive solutions for defined functional and non-functional requirements, including specifying technologies, patterns, and frameworks to bring them to fruition.

• Understand and relate technology integration scenarios and apply these insights in projects.

• Address issues raised during code review through thorough and systematic root cause analysis, justifying the decisions made.

• Conduct proofs of concept to verify that proposed designs and technologies meet the requirements.

⛳️ Requirements

• Minimum of 11 years of total experience.

• At least 10 years of experience in software engineering, with significant expertise in Python and contemporary frontend frameworks (React).

• Demonstrated experience in architecting and delivering production-grade Generative AI applications at scale.

• Profound understanding of LLM integration patterns, RAG systems, and AI-driven UX design.

• Strong system design capabilities across backend, frontend, and AI infrastructure layers.

• Experience in defining technical strategies and influencing architecture across teams or pods.

• Practical experience with cloud platforms (AWS, Azure, or GCP) and distributed systems.

• Solid understanding of security, privacy, and governance issues related to enterprise AI.

• Ability to transform ambiguous business challenges into robust technical architectures.

• Excellent communication skills, with the ability to influence senior stakeholders and technical leadership.

🏝️ Benefits

• Flexible work arrangements.