
HR Tech âą SaaS âą B2B
<Euphoric> is a global, AI-powered employee benefits platform that helps employers personalize, surface, and manage rewards, discounts, flex benefits, and Total Rewards Statements. It provides an AI-driven benefits navigator and The GAP analytics hub to turn benefits data into actionable insights, integrates seamlessly with HRIS and payroll systems, and focuses on improving employee experience, engagement, and administrative efficiency.
11 - 50 employees
Founded 2025
đ„ HR Tech
âïž SaaS
đ€ B2B
November 25
đŹđ§ United Kingdom â Remote
đ” ÂŁ125k - ÂŁ140k / year
â° Full Time
đ Senior
đ€ AI Engineer

HR Tech âą SaaS âą B2B
<Euphoric> is a global, AI-powered employee benefits platform that helps employers personalize, surface, and manage rewards, discounts, flex benefits, and Total Rewards Statements. It provides an AI-driven benefits navigator and The GAP analytics hub to turn benefits data into actionable insights, integrates seamlessly with HRIS and payroll systems, and focuses on improving employee experience, engagement, and administrative efficiency.
11 - 50 employees
Founded 2025
đ„ HR Tech
âïž SaaS
đ€ B2B
âą Architect & Engineer AI Systems: build robust processing architectures that leverage off-the-shelf LLMs, RAG pipelines, and context engineering âą Build the Backend Foundation: significant time in Python (FastAPI, SQLAlchemy) building APIs, data structures, and services âą Close the Data Loop: transition from "zero-shot" implementations to data-driven optimization; instrument data collection, design online evaluation metrics, and deploy ML models âą Be a "Full Stack" Partner: jump into the frontend (React/TS) to implement features or debug integrations âą Mentor & Lead: upskill team on AI concepts and best practices âą Strategic Advising: help Product and Leadership navigate valuable features that achieve business impact
âą Production Engineering (5+ years) âą Building and maintaining backend services in Python (ideally FastAPI or similar async frameworks) âą Building complex applications using Foundation Models / LLMs âą Training and evaluating models (TensorFlow/PyTorch/Keras/Scikit-learn) âą Building datasets from scratch (bootstrapping, crowdsourcing) and evaluating them (cross-validation, precision/recall, business metrics) âą Strong communication skills for explaining complex ideas to technical and non-technical audiences âą Attitude to deliver against important business goals that help the entire team win âą Building efficient, scalable, and maintainable code
âą Remote-first setup with optional shared work space passes and a hub in London âą Apple devices and the best AI tooling âą Private healthcare via Vitality âą 5% employer pension contribution (min 3% employee contribution) âą Meaningful early-stage share opportunities âą 25 days holiday per year, plus bank holidays. âą Career rocket fuel - real growth, real ownership, real impact
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