Staff Software Engineer I

About our Marketplace Enablement Org and User Dialogue Team   

Within Marketplace Enablement, we build the technology that helps candidates and recruiters find the right match. Our teams deliver data products, search and recommendations, and intelligent user dialogue capabilities using modern engineering practices, AI and cloud-native technology.  

Within this org, our User Dialogue team, are building the next generation of conversational and agentic AI experiences. This includes intelligent candidate engagement, personalised outreach, messaging journeys, and AI-powered systems that support users through complex recruitment journeys.  

By joining this team, you will be playing a vital role as together we reimagine the labour market to make it work for everybody. 

The Role  

We are recruiting for a Staff Software Engineer (AI) to help design, build and evolve production-grade agentic AI systems. This is a strategic, hands-on engineering leadership role focused on integrating Large Language Models into scalable, secure, reliable and observable architectures. This is an individual contributor leadership role with no direct line management responsibility.  

You will help move our agentic AI capabilities beyond experimentation and into dependable products that operate safely and effectively at scale across our global marketplace. Working closely with software engineers, machine learning engineers, data scientists, product managers, analysts and technical leaders, you will shape how we build, test, deploy, monitor and govern AI-powered systems.  

Success in this role will depend as much on influence and communication as on technical depth. You will need to create alignment across teams, explain complex concepts clearly, and help others make confident, pragmatic decisions.

Your responsibilities 

As a Staff Software Engineer (AI), you will:  

• Design, architect and build agentic and LLM-powered systems within our AWS environment, with a focus on production readiness, reliability, security and scale.  
• Provide technical leadership across teams, helping move AI capabilities from R&D and experimentation into maintainable, observable and operationally robust products.  
• Work closely with product managers, engineers, machine learning engineers, data scientists and technical leaders to align technical decisions with user needs, business priorities and long-term platform direction.  
• Define and improve engineering standards, reusable patterns, tools, templates and best practices for building agentic AI systems responsibly and consistently.  
• Lead the implementation and deployment of systems at scale, ensuring strong approaches to testing, monitoring, evaluation, guardrails, observability and operational support.  
• Communicate architectural choices, trade-offs and technical risks clearly to technical and non-technical stakeholders.  
• Mentor and coach engineers, raising the engineering bar across design, delivery, code quality, security, maintainability and pragmatic technical decision-making.  
• Contribute to tech-wide initiatives, collaborating across the organisation to promote standardisation, responsible AI practices and strong engineering design.