Principal Full Stack Engineer - AI

Responsibilities:

• Play an instrumental and influential role in driving generative AI vision, strategy, and architecture.
• Architect, build, maintain, and improve new and existing suites 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 implementing a clear peer review process of applications.
• Contribute to and promote good software engineering practices across the team.

Requirements:

• 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 modeling.
• Experience with containerization (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 design.
• Strong leadership skills with a proven track record of mentoring and developing talent.
• Excellent communications skills, capable of conveying complex AI concepts to nontechnical 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 analyzing large amounts of data to derive actionable insights.