AI Engineering Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI Engineering Manager (AI): Leading multidisciplinary teams to build and scale AI-native products with an accent on LLM ecosystems, agent-based architectures, and modern AI development practices. Focus on defining AI engineering strategy, establishing evaluation frameworks, and driving innovation across international logistics platforms.
Location: Remote cooperation within Poland
Company
is a leading European out-of-home e-commerce enablement platform, revolutionizing parcel delivery through an extensive network of automated parcel machines.
What you will do
- Define and execute the AI engineering strategy to support consumer-facing AI initiatives.
- Lead and mentor multidisciplinary engineering teams in building scalable AI-powered solutions.
- Establish best practices for AI-native development, including evaluation frameworks, observability, and AI-focused CI/CD.
- Evaluate and integrate cutting-edge open-source and commercial tools for agent orchestration and AI development.
- Partner with product and business stakeholders to ensure successful delivery and long-term technical innovation.
- Foster a high-performing, inclusive engineering culture focused on continuous learning and growth.
Requirements
- Must be based in Poland for remote cooperation.
- 7+ years of experience in software engineering and leading high-performing Agile teams.
- 2+ years of proven experience delivering large-scale machine learning or AI-powered products.
- Strong understanding of modern AI technologies, LLM ecosystems, and agent-based architectures.
- Experience building robust backend platforms supporting multiple product lines.
- Degree in Computer Science, Mathematics, Statistics, or a related field.
Culture & Benefits
- Opportunity to work in a diverse, international, and cross-functional environment.
- Real ownership over architectural decisions impacting multiple European markets.
- Access to a platform with genuine technical complexity and scale.
- Space to experiment with AI tooling and bring new ideas into production.
- Mature, experienced team that values technical depth and continuous improvement.
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