Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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£135к/год
£110к£130кмедиана£160к
По похожим ролям (50) ~ £130к/год
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Крутая вакансия
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Вы будете отвечать за реальные AI-системы в крупной инвестиционной компании, но из-за модели Build-Operate-Transfer проекты могут передавать другим командам после запуска.
Актуальная AI-разработка
Заметная ответственность
?Передача проектов
Финансовый сектор
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Engineer (Python/Java/JavaScript, AWS): Building and deploying production-grade AI agents and intelligent systems for an asset management firm with an accent on agent orchestration, retrieval-based systems, evaluation, observability, and guardrails. Focus on hardening AI products for enterprise scale, designing cloud-native microservices and APIs, and transferring proven solutions to business-aligned teams.
Location: London, UK
Salary: Up to £135,000 per year
Company
Work with a premier global investment firm with more than 85 years of history, developing AI products for use across the firm.
What you will do
Design, build, deploy, and harden production-grade AI agents and intelligent systems on cloud-native architecture.
Own significant delivery areas across the software lifecycle within a Build-Operate-Transfer model.
Contribute to shared AI capabilities including agent orchestration, tool use, retrieval-based systems, evaluation, observability, and guardrails.
Work with product owners and business stakeholders to turn ambiguous problems into measurable outcomes.
Champion code and design reviews, automated testing, and CI/CD.
Mentor and support less experienced engineers.
Requirements
5+ years of software engineering experience in Python, Java, or JavaScript.
Strong cloud-native experience with AWS or an equivalent platform and containerised microservices.
Experience building AI-enabled or agentic systems in production or near-production environments.
Familiarity with modern AI engineering patterns including orchestration, RAG, evaluations, monitoring, and guardrails.
Strong system design skills, including experience building APIs, data models, and service interfaces.
Ability to explain complex AI concepts clearly to technical and business audiences.
BS/MS in Computer Science or a related field, or equivalent experience.
Nice to have
Experience building shared platform components.
Knowledge of financial markets and asset management.
Culture & Benefits
Collaborative, values-led culture with real impact across a global firm.
Support for career progression.
Competitive pay, benefits, and flexibility.
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