AI Engineering Manager

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InPost Group

WebsiteLinkedInAll Job Openings

10,000+ employees

🛍️ eCommerce

🚗 Transport

📦 Logistics

eCommerce • Transport • Logistics

InPost Group is Europe's leading e-commerce enablement platform, specializing in out-of-home delivery services. Founded in 1999 by CEO Rafal Brzoska, InPost provides cost-effective and environmentally friendly delivery solutions through a robust network of Automated Parcel Machines (APMs) and courier services. The company also offers pick-up drop-off (PUDO) services, enhancing convenience and efficiency for e-commerce merchants across Europe. InPost is committed to sustainability, reducing carbon emissions significantly in its delivery processes. With operations in countries like Poland, France, Benelux, the UK, and Italy, InPost continues to expand its innovative technology solutions to drive long-term growth in the e-commerce sector.

📋 Description

• Drive and help define the AI Engineering strategy supporting the company's consumer AI agenda. • Lead multiple multidisciplinary engineering teams building solutions powered by technologies such as 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, workflow orchestration, and AI development ecosystems. • Enable teams to create innovative AI experiences, including streaming interactions, long-running workflows, procedural UX, and intelligent automation. • Foster a collaborative, inclusive, and high-performing engineering culture focused on growth and continuous learning. • Partner closely with product, technology, and business stakeholders to ensure successful product delivery and long-term innovation.

🎯 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.

🏖️ Benefits

• Opportunity to work in a diverse, international and cross-functional environment, along with leading experts. • Your impact will be visible instantly and you will be making a difference in our users lives. • Real ownership — you'll make architectural calls that impact multiple markets. • A platform with genuine complexity worth solving (international scale, complex CMS). • Space to experiment with AI tooling and bring new ideas into production. • A mature, experienced team that values technical depth.