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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко очерченная роль уровня Staff даёт возможность влиять на стратегию и развивать production AI-системы в растущем финтех-продукте; технические задачи и условия для развития выглядят сильными.
Современный AI-стек
Понятная зона ответственности
AI в финтехе
Поддержка развития
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff AI Engineer (AI/LLM/Fintech): Building the AI platform and Wealth Advisor systems that deliver safe, personalised financial guidance, with an accent on model orchestration, retrieval, evaluation, guardrails and scalable production infrastructure. Focus on designing reliable LLM-powered products, measuring model quality, controlling safety and observability risks, and shaping AI architecture for a regulated financial product.
Location: Hybrid, with at least 2 days per week in an office in London, Athens or Cyprus. The role is associated with London, England, United Kingdom; Athens, Greece; and Nicosia, Cyprus.
Company
hirify.global is a financial technology company building an AI-driven money platform that helps people save, invest and access personalised financial guidance.
What you will do
Architect the AI platform foundations, including model orchestration, RAG, agentic workflows, prompt and context management.
Lead end-to-end development of LLM-powered Wealth Advisor experiences, from system design and tool integration through production deployment, monitoring and iteration.
Build evaluation systems with golden datasets, LLM-as-judge grading, regression gates and offline-to-online metric correlation.
Design safety, guardrail and observability layers covering tracing, cost and latency monitoring, content controls and action controls.
Shape the AI strategy and roadmap, evaluate emerging models and techniques, and establish architectural and operational standards across teams.
Mentor engineers and collaborate with Staff Engineers, Product Managers, Data Scientists and Compliance on regulated financial AI products.
Requirements
Proven technical leadership and experience designing, shipping and operating LLM-powered systems in production at scale.
Hands-on experience with agentic systems, tool use, orchestration, multi-step planning, RAG, retrieval pipelines, prompt engineering and relevant fine-tuning.
Strong evaluation methodology, including regression detection, quality measurement and data-backed release decisions.
Strong software engineering fundamentals with Python, distributed systems, APIs and cloud infrastructure.
Pragmatic approach to balancing model capability, cost, latency, reliability, scalability and speed of learning.
Ability to translate business goals into technical strategies, communicate complex challenges to technical and non-technical executives, and challenge product decisions with data.
Experience facilitating technical decisions and resolving conflicts in cross-functional, collaborative environments.
Self-management, strong organisation and focus on high-leverage work.
Nice to have
Awareness of safety, fairness and regulatory considerations when applying AI to people’s money.
Culture & Benefits
Flexible remote-work approach alongside regular office attendance in London, Athens or Cyprus.
45 work-from-anywhere days.
Stock options, private health insurance, annual training budget and hirify.global product subscriptions.
25 days of holiday plus bank holidays, enhanced parental leave, wedding allowance and one paid volunteering day annually.
Sabbaticals after 4 and 8 years, team breakfasts and lunches, and an annual team trip.
Inclusive culture with emphasis on ownership, collaboration, continuous improvement and technical growth.
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