Principal Engineer, AI Architect

Overview

Principal Engineer and AI Architect to design and deliver production-grade Generative AI solutions at scale, owning architecture and technical vision for user-facing AI applications.

What you'll do

• Convert client business use cases and technical requirements into technical designs.
• Own the architecture and technical vision for Python, React, and Generative AI user-facing applications.
• 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 features like conversational interfaces, copilots, and dashboards.
• Lead end-to-end design and implementation of complex GenAI workflows using LLMs, tools, APIs, structured data, and user context.
• Establish 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 software engineering experience 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 AWS, Azure, or GCP and distributed systems.
• Strong grasp of security, privacy, and governance for enterprise AI.
• Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Details

• Job title: Principal Engineer, AI Architect.