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Principal Engineer

Leads a company-wide shift toward agentic engineering while remaining hands-on in software development, cloud architecture, prototyping, and technical ownership. The role requires extensive full-stack and SaaS experience, strong AI/LLM expertise, and the ability to influence global engineering teams.

About the job

Responsibilities

  • Lead the transition from traditional code generation to agentic workflows.
  • Define architecture, guardrails, and patterns for building and managing AI agents across the development lifecycle.
  • Build prototypes, write code, and architect agent workflows as an individual contributor.
  • Own the security, quality, scalability, and performance of products delivered from the Belfast hub.
  • Oversee the architecture, design, and delivery of products built and deployed on AWS.
  • Influence architectures, designs, and engineering standards across the global product development team.
  • Champion innovation and continuous improvement, including technology roadmaps focused on AI and automation.
  • Develop prototypes and proofs of concept supporting AI and agentic technology recommendations.
  • Assist with recruiting and hiring technical talent.
  • Guide, mentor, and evaluate technical talent.

Requirements

  • 15+ years of overall relevant software engineering experience.
  • 8+ years of experience within world-class product companies.
  • 10+ years of strong full-stack software development experience.
  • 5+ years of experience architecting, designing, and building high-scale, high-performance SaaS products.
  • 5+ years of cloud experience.
  • Proven understanding of large language models, prompt engineering, vector databases, and AI agent frameworks.
  • Clear vision for shifting engineering from manual coding to agent management.
  • Strong communication and influencing skills across multiple geographic locations.
  • Proven cross-functional collaboration experience.

Nice to Have

  • Exposure to big data environments, including data processing and analytics.
  • Experience in ecommerce.

Skills

AWS, Full-Stack Development, Saas Architecture, LLMs, Prompt Engineering, Vector Databases, Ai Agent Frameworks, LangChain, Claude Code, Distributed Systems, Fault-Tolerant Systems, Cloud Architecture, Big Data, Data Processing, Data Analytics

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