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1 день назад

AI Solution Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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