обновлено 3 дня назад
Senior Lead Agentic AI Engineer (Construction & Engineering)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Lead Agentic AI Engineer (Construction & Engineering): Building full-lifecycle workforce management, project delivery, and scheduling software with an accent on agentic AI, LLM-backed features, RAG, event-driven services, and cloud-native engineering. Focus on leading an autonomous team, designing scalable APIs across front-end and back-end systems, and validating technical decisions in real customer environments.
Location: London, England, United Kingdom; hybrid work opportunities are available.
Company
develops AI-driven enterprise software for workforce management, project delivery, scheduling, and other operational needs.
What you will do
- Lead a small autonomous engineering team by setting technical direction, driving delivery and quality, and mentoring engineers.
- Design and ship full-lifecycle features across front-end and back-end systems.
- Build and consume APIs and event-driven services connecting workforce, project, scheduling, and financial data across Cloud and customer systems.
- Develop agentic and LLM-backed product features using RAG, agentic architectures, evaluation harnesses, and context engineering.
- Make performance and scalability decisions for cloud-native systems using Kubernetes, CI/CD, infrastructure as code, GitOps, and observability.
- Work directly in customer environments, test technical assumptions, and incorporate findings into the product.
Requirements
- Strong software engineering experience with depth in at least one area such as front-end, back-end, data, quality, security, platform, or applied AI.
- Ability to work across the stack and own design, development, testing, deployment, and production operations.
- Experience leading or mentoring engineers while remaining actively involved in coding.
- Practical fluency with AI-assisted development tools and agentic engineering patterns.
- Ability to make progress in ambiguous environments and connect technical decisions to customer and commercial outcomes.
- Ability to work in a hybrid setup associated with London, United Kingdom.
Nice to have
- Degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
- Experience shipping AI-backed features involving LLM integration, RAG, or agentic patterns.
- Experience with enterprise, ERP, project-based, construction, engineering, or other field-heavy software.
- Experience leading globally distributed teams in an agile delivery environment.
Culture & Benefits
- Flexible and hybrid work opportunities supporting different working styles and lifestyles.
- Inclusive, diverse, and globally distributed working environment.
- Commitment to sustainability, collaboration, trust, and practical customer impact.
- Daily use of AI-assisted development tools such as Claude Code and Cursor.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →