Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль предполагает полноценную ответственность за AI-платформу в крупной финансовой группе, но широкий инженерный охват и нехватка деталей о команде оставляют вопросы о повседневной нагрузке.
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Широкий охватСовременный стекAI-платформаКрупная группаРазвитие и обучениеФинансовые технологии
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Solution Engineer (AI/platform engineering): Building AI-enabled platform capabilities, workflows, agents, and internal and external products with an accent on end-to-end ownership across frontend, backend, AI, and integration layers. Focus on productionizing AI research, embedding agents into enterprise-grade systems, and designing scalable, observable, secure platform architecture.
Location: Hybrid, London, UK
Company
hirify.global provides asset servicing and operational solutions for public and private funds as part of Mitsubishi UFJ Financial Group.
What you will do
Build and evolve the technical layer of the Workflow and Agent AI Platform used to design, run, and scale AI workflows and agents.
Own capabilities end to end, including design, delivery, production deployment, and continuous improvement.
Design and deliver AI-enabled features across frontend, backend, AI, and integration layers.
Embed product functionality into reusable AI-enabled workflow patterns and improve them using evaluations, monitoring, and user feedback.
Contribute to architecture decisions supporting scalability, observability, security, and long-term platform evolution.
Collaborate with Data Scientists, AI Engineers, Platform Engineers, and other groups on productionization, infrastructure, code reviews, documentation, and knowledge sharing.
Requirements
3+ years of software engineering experience with end-to-end ownership of complex products or platforms.
Strong proficiency in TypeScript and modern JavaScript for production-grade applications.
Experience with modern frameworks; React is preferred, and Vue.js 3 is also welcome.
Strong proficiency in at least one backend language; Python is preferred but not required, with the ability to work across frontend and backend boundaries.
Experience with relational databases such as PostgreSQL, data modeling, and designing APIs and integrations.
Strong software engineering fundamentals, including clean architecture, evolvability, testing, code reviews, and CI/CD discipline.
Nice to have
Experience with MLOps tooling.
Exposure to AI and agent frameworks such as AWS Strands, Azure AI Agent Service, LangChain, LangSmith, or CrewAI.
Experience with GenAI application development.
Experience with cloud platforms such as AWS or Azure, or data platforms such as Databricks.
Financial services background.
Experience with design systems and accessibility standards.
Culture & Benefits
Hybrid working environment.
Connected, collaborative culture with a focus on innovation and client service.
Learning and development opportunities.
Equal opportunity employment.
Hiring process
Only candidates proceeding to the interview stage will be contacted.
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