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3 дня назад

Agentic AI Senior Software Engineer

69 624 - 87 030GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
Agentic AI Senior Software Engineer (Python/Cloud): Building and scaling enterprise-grade agentic AI services, orchestration capabilities, and cloud-native infrastructure for financial services with an accent on secure, scalable, and resilient production systems. Focus on designing agentic workflows and multi-agent architectures, integrating tools and LLM capabilities, and solving complex platform engineering challenges across a large organisation.

Location: Manchester, UK; hybrid working with at least two days per week or 40% of the time at an office site

Salary: £69,624–£87,030 per year

Company

hirify.global is a major UK banking organisation investing in data, technology, and AI to serve 28 million customers.

What you will do

  • Design and evolve architectures for agentic AI services and orchestration capabilities.
  • Develop production-grade software and cloud-native infrastructure.
  • Build AI-powered services, agentic workflows, and platform capabilities for use across the Group.
  • Partner with engineering, architecture, and product teams to deliver AI-enabled solutions.
  • Contribute to engineering standards, software lifecycle practices, and technical strategy.
  • Drive experimentation, continuous improvement, and adoption of emerging AI technologies.

Requirements

  • Strong Python software engineering skills and experience delivering secure, scalable, production-grade applications and services.
  • Experience designing and delivering agentic AI solutions, including workflows, tool integration, orchestration patterns, and multi-agent architectures.
  • Experience designing and implementing scalable cloud-native systems, platforms, and services.
  • Modern software engineering experience, including testing, CI/CD, and software lifecycle management.
  • Strong critical thinking and collaboration skills for solving complex technical challenges and working across engineering, architecture, and product teams.

Nice to have

  • Experience with Google Cloud Platform.
  • Knowledge of large language models, prompting, evaluation, and fine-tuning approaches.
  • Experience with Docker, Kubernetes, and AI observability, monitoring, or evaluation frameworks.

Culture & Benefits

  • Hybrid working with flexibility in office attendance and working patterns where reasonable adjustments are required.
  • Up to 15% pension contribution.
  • Annual performance-related bonus and share schemes including free shares.
  • 30 days of holiday plus bank holidays.
  • Wellbeing initiatives and generous parental leave policies.
  • Commitment to diversity, equity, inclusion, and workplace adjustments.

Hiring process

  • Applications are assessed against the minimum criteria, with guaranteed interviews for a fair and proportionate number of eligible applicants through the Disability Confident Scheme.
  • Reasonable adjustments are available throughout the recruitment process.

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