Senior AI Engineer (GTM)

Responsibilities

• Design and build AI-powered systems for account segmentation, enrichment, scoring, prioritisation and buying-signal detection
• Develop and deploy agentic workflows for use cases such as account research, outbound personalisation, call summarisation and CRM hygiene
• Write production-quality code and build the integrations, data pipelines and services required to take solutions from prototype to reliable daily use
• Optimise systems for quality, latency and cost through evaluation, prompt design, model selection, routing, caching, context management and token optimisation
• Establish practical patterns for building AI systems at Paddle, including monitoring, guardrails, documentation and clear measures of business impact
• We'd love to hear from you if you
• Have strong software engineering experience and can independently take a problem from technical design through to production; Python and SQL experience would be particularly relevant
• Have hands-on experience building applications with large language models, APIs, retrieval systems, agents or other applied AI technologies
• Understand how to evaluate and operate AI systems in production, including managing hallucination risk, latency, reliability, context limits and variable model costs
• Are comfortable working with structured and unstructured data, building integrations and turning information from multiple sources into useful systems

Languages