Drive Generative AI vision, strategy, and platform architecture end-to-end
Design and build backend systems and APIs for AI-driven products and agentic frameworks
Integrate Large Language Models (LLMs) into scalable, production-ready applications
Establish reusable frameworks for model building, deployment, monitoring, and rollback
Build guardrails, compliance rules, and approval workflows into the GenAI platform
Implement monitoring, logging, tracing, and alerting across all AI systems
Define peer review and validation processes for user-generated AI models and applications
Create onboarding guides, templates, and sandbox environments for developers
Mentor and upskill engineers; champion best practices across the team
Communicate platform decisions and AI concepts clearly to non-technical stakeholders

8+ years of professional software engineering experience in backend systems, APIs, or AI products
Proficiency in Python (Django) and JavaScript / TypeScript (React)
Strong understanding of REST / GraphQL APIs, backend architecture, and data modelling
Hands-on experience with agentic AI frameworks — LangChain, LangGraph, Semantic Kernel, or similar
Experience with containerisation (Docker) and cloud platforms (GCP, Azure, or equivalent)
Solid working knowledge of SQL and NoSQL databases
Proven track record of leading AI projects from conception to production deployment
Strong system design skills and software engineering fundamentals
Excellent communication and stakeholder management skills

Principal Full Stack AI Engineer

Key skills