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Stelle
· Manager
AI Engineering Manager (m/f/d)
AI / ML Engineer
• Manager
• Remote
• Vollzeit
•
Polen
InPost is looking for an experienced AI Engineering Manager who combines strong technical leadership with a passion for scaling teams and shaping the company's consumer AI strategy and AI-native engineering practices.
Stack
Responsibilities
- ▹Drive and help define the AI Engineering strategy supporting the company's consumer AI agenda
- ▹Lead multiple multidisciplinary engineering teams building solutions powered by Python, LangSmith, OpenAI, Gemini, Databricks, and modern agent frameworks
- ▹Establish best practices for AI-native product development, including evaluation frameworks, test sets, search systems, observability, and AI-focused CI/CD processes
- ▹Evaluate and introduce best-in-class open-source and commercial tools supporting MCP servers, agent-to-agent communication, and workflow orchestration
- ▹Enable teams to create innovative AI experiences, including streaming interactions, long-running workflows, procedural UX, and intelligent automation
- ▹Foster a collaborative, inclusive, high-performing engineering culture
- ▹Partner closely with product, technology, and business stakeholders to ensure successful product delivery
Requirements
- ▹7+ years of post-degree experience in software engineering
- ▹7+ years leading and developing high-performing Agile engineering teams
- ▹2+ years delivering impactful, large-scale machine learning or AI-powered products
- ▹Proven experience building backend platforms that support multiple product lines
- ▹Strong understanding of modern AI technologies, LLM ecosystems, and agent-based architectures
- ▹Ability to influence and collaborate effectively across technical, product, and business functions
- ▹Degree in Computer Science, Mathematics, Statistics, Econometrics, or a related field
Soft skills
Team leadershipCross-functional collaborationCommunication
What we offer
- ▹B2B type of contract
- ▹Remote cooperation within Poland
About the company
InPost has revolutionised e-commerce parcel delivery in Poland and is now one of Europe's leading out-of-home (OOH) e-commerce enablement platforms. Founded in 1999 by Rafal Brzoska, it provides delivery services through a network of over 64,000 Automated Parcel Machines (APMs) and more than 30,000 pick-up and drop-off (PUDO) points across nine European countries.
Education: Diploma informatika, matematika, statisztika vagy ökonometria területen
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