I
InPost
AI Engineer

AI Engineering Manager (m/f/d)

On-siteSeniorAI Engineerposted 3w ago
Role summaryAI-generated

The AI Engineering Manager at InPost leads cross-functional teams to architect and scale AI-powered products using cutting-edge tools like OpenAI/Gemini, LangSmith, and Databricks, while defining AI-native engineering practices and tooling for consumer-facing solutions.

Skills required

About this role

Are you excited about defining the next generation of AI-powered products and building teams that turn cutting-edge technology into real business impact?

We are looking for an experienced AI Engineering Manager who combines strong technical leadership with a passion for scaling teams, delivering innovative products, and shaping AI-native engineering practices.

What impact will you have?

  • 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.

Why join?

This is an opportunity to shape how AI-native products are designed, built, and scaled within a forward-looking organization. You'll influence technology strategy, work on emerging AI paradigms, and help define the future of intelligent products and engineering excellence.

Qualifications

  • 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.

Additional Information

What you can expect:

  • 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
  • We offer B2B type of contract
  • Remote cooperation within Poland
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