3 дня назад
Engineering Team Lead (AI)
90 000 - 100 000GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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