About the role

Senior AI Engineer building production AI systems for Paddle, a Merchant of Record for digital product companies. Automating GTM workflows across segmentation, account research and sales operations.

Responsibilities

Design and build AI-powered systems for account segmentation, enrichment, scoring, prioritisation and buying-signal detection
Develop and deploy agentic workflows for account research, outbound personalisation, call summarisation and CRM hygiene
Write production-quality code and build integrations, data pipelines and services
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 AI systems, including monitoring, guardrails, documentation and measures of business impact
Work closely with Marketing, Sales and RevOps to solve high-value problems and build practical AI solutions
Own the full lifecycle of systems, including evaluation, observability, reliability and cost optimisation

Strong software engineering experience
Ability to independently take a problem from technical design through to production
Python and SQL experience particularly relevant
Hands-on experience building applications with large language models, APIs, retrieval systems, agents or other applied AI technologies
Understanding of evaluating and operating AI systems in production
Ability to manage hallucination risk, latency, reliability, context limits and variable model costs
Experience with structured and unstructured data
Experience building integrations and turning information from multiple sources into useful systems
Understanding of ICP, segmentation, pipeline, buyer intent and sales workflows
Direct GTM experience beneficial but not essential
Ability to work directly with users, handle ambiguity, and balance speed, quality and maintainability