Principal Full Stack AI Engineer

Description :

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.