Principal Engineer, AI Architect

Overview

Principal Engineer and AI Architect responsible for defining and owning production-grade generative AI architectures at scale for user-facing applications.

What you'll do

• Convert client business use cases and technical requirements into technical designs that meet those requirements.
• Own the architecture and technical vision for AI-powered, user-facing applications using Python, React, and Generative AI.
• Design scalable, secure, and cost-efficient backend platforms for LLM inference, RAG pipelines, and agent orchestration.
• Define frontend architecture and UX patterns for AI-native applications such as conversational interfaces, copilots, and intelligent dashboards.
• Lead design and implementation of GenAI workflows combining LLMs, tools, APIs, structured data, and user context.
• Establish engineering standards for prompt design, model integration, evaluation, and observability.
• Drive GenAI platformisation by building reusable components, SDKs, and frameworks across teams.

What you'll need

• Total experience of 11+ years.
• 10+ years of experience in software engineering with strong depth in Python.
• 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.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and distributed systems.
• Ability to translate ambiguous business problems into durable technical architectures.

Details

• Location: Gurugram, India.