Position: Principal Full Stack AI Engineer
Experience: 8+years
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.
