AI Engineering Manager (m/f/d)
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
