AI Technical Lead

Role Overview

• Responsible for setting technical direction, providing leadership and encouraging innovation.
• Driving AI-powered enhancements to our product suite.
• Contribute to the overall technical architecture.
• Assist with technical documentation.
• Collaborate closely with the Product Management & UX teams, the wider Engineering team and customer support to deliver high-quality software and provide first-class support for our solutions.
• Champion engineering best practices, raising the bar for code quality, engineering and operational excellence for both your team and the broader organization.
• Leverage cutting-edge AI tools to accelerate development workflows and help pioneer new approaches to building software.
• Provide technical insights to the team on relevant emerging technologies.
• Contribute actively to internal knowledge sharing forums.
• Assist with the hiring and integration of new members into a team.
• Work closely with and build relationships with technical lead peers across the organisation.
• Assess feature requests on the product backlog and actively contribute to the product planning process.
• Break feature requests down into small, manageable items to aid the product planning and staging items with teams.
• Identify and prioritize technical items for the product backlog.
• Help clarify technical problems during the product planning process.
• Breakdown items for sprint planning.
• Oversee the pull request process and code review process within a team.
• Help clarify any technical problem during a team software development process.
• Provide technical training, mentoring and support to the development team.
• Manage specific refactoring tasks throughout project phases.
• Identify and prioritize technical items for a team’s sprint backlog.
• Develop and maintain effective working relationships with team members.

Requirements

• 7+ years in AI/ML/data science or software architecture role.
• Computer Science degree or similar preferred.
• Must have deployed a real, large-scale AI system(Not a PoC).
• Fluent in modern AI tooling.
• Extensive expertise in designing and architecting agentic workflows and frameworks, enabling the development of robust, multi-step AI solutions powered by Large Language Models (LLMs).
• Demonstrates advanced skills in orchestrating tool-using autonomous agents, alongside a deep proficiency in prompt engineering, context management, and navigating the nuances of LLM behaviour to deliver impactful, production-ready AI systems.
• Familiarity with cloud technologies, containers and microservices an advantage e.g. Docker, Kubernetes, AWS, Git.
• Excellent communication skills.

Tech Stack

• AWS
• Cloud
• Docker
• Kubernetes
• Microservices

Benefits

• A fantastic culture, team, and energy.
• Competitive compensation.
• Comprehensive benefits package.
• Flexible work arrangements.
• Training and professional development.