Requirements

Strong software engineering experience, capable of independently taking 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 how to evaluate and operate AI systems in production, including managing hallucination risk, latency, reliability, context limits, and variable model costs
Comfortable working with structured and unstructured data, building integrations, and turning information from multiple sources into useful systems
Interest in commercial problems and understanding of concepts such as ICP, segmentation, pipeline, buyer intent, and sales workflows; direct GTM experience is beneficial but not essential
Enjoy working directly with end users, comfortable with ambiguity, and able to balance speed, quality, and long-term maintainability

What you'll be doing

Designing and building AI-powered systems for account segmentation, enrichment, scoring, prioritisation, and buying-signal detection
Developing and deploying agentic workflows for account research, outbound personalisation, call summarisation, and CRM hygiene
Writing production-quality code and building integrations, data pipelines, and services to transition solutions from prototype to reliable daily use
Optimising systems for quality, latency, and cost through evaluation, prompt design, model selection, routing, caching, context management, and token optimisation
Establishing practical patterns for building AI systems including monitoring, guardrails, documentation, and clear measures of business impact

Diverse, transparent, collaborative, and respectful company culture with core values of unity, simplicity, and helping others
Attractive salaries and stock options
Unlimited holidays and enhanced parental leave
Retirement plans and private healthcare
Well-being initiatives
Investment in personal development via constant exposure to new challenges, annual learning fund, and regular internal and external training
Flexible 'digital-first' work environment with freedom to choose where, when, and how to work within global hubs
Global hubs located in UK (London), Portugal (Lisbon), Netherlands, Ireland (Dublin), USA (Austin), Canada (Toronto), and Singapore