Asks for

The ad says“Lead multiple multidisciplinary engineering teams building solutions powered by technologies such as Python, LangSmith, OpenAI, Gemini, Databricks, and modern agent frameworks.”
The ad says“Strong understanding of modern AI technologies, LLM ecosystems, and agent-based architectures.”
The ad says“Evaluate and introduce best-in-class open-source and commercial tools supporting MCP Servers, agent-to-agent communication, workflow orchestration, and AI development ecosystems.”
The ad says“7+ years leading and developing high-performing Agile engineering teams.”
The ad says“Proven experience building backend platforms that support multiple product lines.”
The ad says“Establish best practices for AI-native product development, including evaluation frameworks, test sets, search systems, observability, and AI-focused CI/CD processes.”
The ad says“Lead multiple multidisciplinary engineering teams building solutions powered by technologies such as Python, LangSmith, OpenAI, Gemini, Databricks, and modern agent frameworks.”
The ad says“Establish best practices for AI-native product development, including evaluation frameworks, test sets, search systems, observability, and AI-focused CI/CD processes.”
The ad says“Lead multiple multidisciplinary engineering teams building solutions powered by technologies such as Python, LangSmith, OpenAI, Gemini, Databricks, and modern agent frameworks.”
The ad says“Lead multiple multidisciplinary engineering teams building solutions powered by technologies such as Python, LangSmith, OpenAI, Gemini, Databricks, and modern agent frameworks.”
The ad says“Strong understanding of modern AI technologies, LLM ecosystems, and agent-based architectures.”
The ad says“Evaluate and introduce best-in-class open-source and commercial tools supporting MCP Servers, agent-to-agent communication, workflow orchestration, and AI development ecosystems.”
The ad says“Establish best practices for AI-native product development, including evaluation frameworks, test sets, search systems, observability, and AI-focused CI/CD processes.”
The ad says“Lead multiple multidisciplinary engineering teams building solutions powered by technologies such as Python, LangSmith, OpenAI, Gemini, Databricks, and modern agent frameworks.”
The ad says“Lead multiple multidisciplinary engineering teams building solutions powered by technologies such as Python, LangSmith, OpenAI, Gemini, Databricks, and modern agent frameworks.”
The ad says“Establish best practices for AI-native product development, including evaluation frameworks, test sets, search systems, observability, and AI-focused CI/CD processes.”
The ad says“Establish best practices for AI-native product development, including evaluation frameworks, test sets, search systems, observability, and AI-focused CI/CD processes.”
The ad says“Evaluate and introduce best-in-class open-source and commercial tools supporting MCP Servers, agent-to-agent communication, workflow orchestration, and AI development ecosystems.”

Company Description

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 Rafał Brzoska, InPost 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: Poland, the United Kingdom, France, Italy, Spain, Portugal, Belgium, the Netherlands and Luxembourg, alongside to-door courier and fulfilment services for ecommerce merchants.

InPost’s extensive OOH network supports rapidly growing parcel volumes across its markets, with 1.4 billion parcels delivered in 2025. Its locker solutions offer consumers a delivery option that is cheaper, more flexible and convenient, environmentally friendly and contactless. As a leading OOH logistics provider, InPost is recognised for transforming parcel delivery economics in Europe, appealing to both consumers and merchants through its flexible, technology-driven solutions.

Job Description

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