AI Engineering Manager
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Job Description
AI Engineering Manager at InPost driving AI engineering strategy and leading multidisciplinary teams. Shaping AI-native products with a focus on collaboration and innovation.
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 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.
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