Position: Principal Full Stack AI Engineer

Your Role

• Play an instrumental and influential role in driving Generative AI vision, strategy, and 

architecture. 

• Architect, build, maintain, and improve new and existing suite of GenAI applications 

and their underlying systems. 

• Design and develop backend systems and APIs for AI-driven products and agent

frameworks

• Integrate LLMs into scalable, production-ready systems

• Establish reusable frameworks to streamline model building, deployment and 

monitoring. Incorporate comprehensive monitoring, logging, tracing, and alerting 

mechanisms. 

• Build guardrails, compliance rules and oversight workflows into the GenAI application 

platform, such as establishing approval chains for model updates and staged rollout for 

production releases

• Develop templates, guides and sandbox environments for easy onboarding of new 

contributors and experimentation with new techniques

• Ensure development of user-facing applications in the GenAI application platform is 

easy and safe by enforcing rigorous validation testing before publishing user-generated 

models and implement a clear peer review process of applications

• Contribute to and promote good software engineering practices across the team.

Your expertise

• Proven experience in leading AI projects from conception to deployment in a 

consultancy or start-up environment

• professional software engineering experience, ideally working on backend systems,

APIs, or AI-related products

• Proficiency in Python (Django) and JavaScript/TypeScript (React)

• Strong understanding of backend architectures, REST/GraphQL APIs, and data

modelling

• Experience with containerisation (Docker) and cloud platforms (GCP, Azure, or similar)

• Exposure to agentic frameworks (LangChain, LangGraph, Semantic Kernel, etc.)

• Practical experience with databases (SQL / NoSQL)

• Strong foundation in software design principles and system designing

• Strong leadership skills with a proven track record of mentoring and developing talent

• Excellent communications skills, capable of conveying complex AI concepts to non￾technical stakeholders

• A strategic thinker with a passion for problem-solving and innovation 

• SME in statistics, analytics, big data, data science, machine learning, deep learning, 

cloud, mobile, and full stack technologies.

• Hands-on experience analysing large amounts of data to derive actionable insights.