2 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) (AI/LLM): Leading a small autonomous team while building and operating full-lifecycle, AI-native workforce management, project delivery, and scheduling software with an accent on agentic architectures, RAG, APIs, event-driven services, and cloud-native engineering. Focus on designing scalable full-stack features, validating solutions in customer environments, and owning delivery across Kubernetes, CI/CD, IaC/GitOps, observability, quality, and security.
Location: London, England, United Kingdom; hybrid work opportunities
Company
develops enterprise software and AI-driven solutions for workforce management, project delivery, scheduling, and other business operations.
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 AI-native and LLM-backed product capabilities using agentic architectures, RAG, evaluation harnesses, and context engineering.
- Own the complete engineering lifecycle, including design, implementation, testing, deployment, operation, performance, scalability, quality, and security.
- Work directly in customer environments to validate assumptions and shape technical decisions based on real-world needs.
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.
- Experience leading or mentoring engineers while remaining closely involved in production code.
- Ability to work across the stack and take ownership from design through production operation.
- Practical fluency with AI development tools and agentic engineering patterns.
- Experience making customer- and commercially-aware technical decisions in ambiguous environments.
- Based in or able to work from London, United Kingdom, with hybrid workplace participation.
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 and delivering through agile practices.
Culture & Benefits
- Hybrid work opportunities designed to support flexibility and inclusive workplace experiences.
- AI-assisted development with Claude Code and Cursor integrated into the daily engineering workflow.
- Collaboration in a global and diverse environment with a focus on sustainability and positive impact.
- Direct customer engagement and forward-deployed product development.
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