Full Stack AI Principal Engineer

As a Principal Full Stack AI Engineer, you will lead the design, architecture, and delivery of production-ready AI applications at scale, integrating cutting-edge AI/ML solutions, and deploying robust, scalable cloud architectures on AWS. You'll collaborate closely with product teams, architects, and engineers to deliver complex solutions, including GenAI applications, LLM integrations, and agent-based systems.

Requirements

• Define the architecture and technical direction for full stack AI applications across multiple teams.
• Drive the integration of AI/ML solutions, including LLMs, embeddings, and agent frameworks, into scalable production systems.
• Set standards and best practices for full stack development, cloud architecture, and AI workflows across the organization.
• Collaborate with product, AI, data, and architecture teams to shape technical strategy, design patterns, and project roadmaps.
• Advise and mentor engineering leaders and senior engineers, influencing architecture decisions, code quality, and AI implementation strategies.
• Oversee LLMOps frameworks, including prompt management, model pipelines, versioning, monitoring, and optimization.
• Guide the use of unstructured data (text, image, video, audio) to enable advanced AI-driven capabilities.
• Champion reusable libraries, frameworks, and organization-wide engineering standards.
• Stay at the forefront of AI, cloud, and full stack technologies, driving innovation and sharing insights internally and externally.

Benefits

• Competitive salary package
• Pick your equipment
• Gifted Day Off ('VersionUp Day')
• Generous parental leave
• Well-funded startup environment
• Annual training budget
• Mentorship program
• Clear promotion pathways
• Flexible working arrangements
• Meet-ups & socials
• 97% rating on corporate social responsibility