Overview
Associate Principal Engineer and AI Architect responsible for designing and delivering production-grade Generative AI applications at scale.
What you'll do
- Convert client business use cases and technical requirements into technical designs.
- Own AI-powered user-facing application architecture and technical vision 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 features like conversational interfaces and copilots.
- Lead complex GenAI workflow design and implementation 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
- 9+ years total experience.
- Strong depth in Python and experience in software engineering.
- 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.
- Bachelor’s or master’s degree in computer science, Information Technology, or related field.
Details
- Uses AI-assisted development tools including Copilot and Claude Code.
- Works on enterprise readiness including security, privacy, compliance, governance, and responsible AI practices.
- Leads technical discovery and solutioning, including workshops when required.
Read the full description and apply on the company’s own careers page.
