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3 дня назад

Engineering Team Lead (AI)

90 000 - 100 000GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Engineering Team Lead (AI): Leading development of Virtual Personas, an AI-powered synthetic personas platform for market research, with an accent on full-stack delivery, LLM orchestration, and secure, tested product development. Focus on guiding engineers, designing scalable Azure-based systems, hardening AI features against prompt injection and unbounded model behaviour, and embedding automated testing and CI quality gates.

Location: London, UK; hybrid with onsite attendance at the London office 1–3 days per week.

Salary: £90,000–£100,000 per year, plus bonus scheme.

Company

hirify.global is a data, market research and advisory company that combines research expertise, proprietary technology and consulting to help brands make better decisions.

What you will do

  • Lead up to four engineers in a cross-functional agile team developing the Virtual Personas AI platform.
  • Deliver the product roadmap and help set the technical direction for the product.
  • Contribute to full-stack development across Python/FastAPI services and React/TypeScript front ends.
  • Build scalable, flexible systems using Azure, PostgreSQL, MongoDB, Redis and multi-provider LLM integrations.
  • Establish automated testing, test-first development and CI quality gates for a fast-moving AI product.
  • Mentor developers, run one-to-ones, set objectives, manage delivery and engage directly with customers and stakeholders.

Requirements

  • Experience leading agile teams through rapid-release iterations and launching and scaling new products.
  • Extensive experience with Python and modern asynchronous web frameworks, or closely related languages.
  • Hands-on experience building or maintaining LLM-powered applications, including prompt design, multi-provider integration and agent orchestration.
  • Strong relational database experience, with practical knowledge of PostgreSQL, MongoDB and Redis.
  • Experience with automated testing, CI quality gates, scalable architecture and secure AI development, including protection against prompt injection.
  • Comfort working with ambiguity, changing priorities, AI-assisted development tools and cross-functional stakeholders.

Nice to have

  • Experience with FastAPI, async SQLAlchemy, Node/Express or React/TypeScript.
  • Experience with LangChain, LangGraph, Azure services or AWS equivalents.
  • Familiarity with LLM observability, evaluation tooling and resilience patterns for third-party AI providers.
  • Awareness of GDPR, the EU AI Act, data protection and AI transparency considerations.
  • Informal leadership, formal management or cross-team stakeholder experience.

Culture & Benefits

  • Hybrid and flexible working practices.
  • Unlimited annual leave.
  • Ongoing training and development, including mentoring and coaching.
  • Health and wellbeing package, pension, life assurance and employee assistance programme.
  • Team and company social activities, plus health, charity, volunteering and DE&I committees.
  • Visa sponsorship is not available.

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