Principal Engineer, Python fullstack (React+Genai)
Core
Architecting and delivering production-grade Generative AI applications at scale, combining LLM integration, RAG systems, and AI-driven UX design.
Role type
Principal Engineer, Python fullstack (React+Genai)
Builds
AI-powered, user-facing applications with scalable backend platforms for LLM inference, RAG pipelines, and agent-based orchestration.
Domain
Enterprise Generative AI, Cloud Infrastructure, Distributed Systems
Deliverable
production ML models | product features | infrastructure
Required skills
Python, React, LLM integration patterns, RAG systems, AI-driven UX design, system design, cloud platforms (AWS/Azure/GCP), distributed systems, security and privacy for enterprise AI, technical strategy definition, translating ambiguous business problems to technical architectures
Preferred skills
AI-assisted development tools, prompt design, model evaluation, observability, building reusable components and SDKs, client/executive-facing workshops
Technologies
Python, React, LLMs, RAG pipelines, agent-based orchestration, AWS, Azure, GCP
Responsibilities
Own the architecture and technical vision for AI-powered applications; Design scalable backend platforms for LLM inference and RAG; Define frontend architecture for AI-native applications including conversational interfaces; Lead design and implementation of complex GenAI workflows; Establish engineering standards for prompt design and model integration; Drive GenAI platformisation by building reusable components and frameworks; Review critical designs and codebases to unblock teams; Lead technical discovery for high-impact initiatives; Ensure enterprise readiness regarding security, privacy, and governance.
Seniority
Principal, strategy & mentorship