AI Engineer

• Build AI-enabled tools that help Search teams find problems, test changes and measure relevance more quickly
• Design and build AI-enabled features that turn search behaviour, diagnostics and quality data into prioritised, actionable insights
• Build backend services and APIs for tools that collect and combine human relevance judgements
• Turn the existing offline evaluation tool into on-demand environments that developers can run in the CI/CD pipeline
• Define and automate checks on the accuracy and reliability of AI features, including LLM-based relevance judgements
• Work with product, design, data science and Search colleagues to turn prototypes into production releases
• Integrate with existing client platforms and APIs
• Monitor quality, latency and cost, and document decisions and trade-offs
• Share work early through documentation, demonstrations and incremental pull requests
• Own deliverables within agreed architecture and engineering practices
• Communicate decisions, risks and trade-offs clearly
• Assess the quality of AI-generated outputs with Search and data science colleagues
• Experiment quickly, test assumptions against real data and iterate using evidence
• Balance exploration with delivery and avoid unnecessary complexity early on
• Design for trust, clarity and adoption by tool users
• Recognise when deterministic rules, traditional machine learning or human review are more appropriate than an LLM

Explore Senior AI Engineer at Parser. Review requirements and application details.

Senior AI Engineer

Java Software Architect, AI

AI Architect, Software Architect

Lead Java Architect, AI

CAD Engineer – AI Trainer

Freelance Mechanical CFD Engineer – AI Trainer

CFD Engineer, AI Trainer

Freelance Mechanical CAD, Simulation Engineer – AI Trainer

AI Lead

AI Developer – Software Engineer