Staff AI Engineer

InPost Group

Staff AI Engineer focusing on Generative AI model integration at InPost, enhancing business applications with modern AI capabilities and cloud infrastructure.

Posted 4/29/2026full-timeRemote • 🇵🇱 PolandLeadWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformJavaKubernetesMicroservicesNoSQLRedisSQL

About the role

Key responsibilities & impact

Drive the technical architecture across the domain, with a focus on modernization, scalability and AI integration.
Lead the design and implementation of microservices and cloud-native systems.
Guide the transition from legacy systems to modern distributed systems.
Collaborate with senior stakeholders (EMs, Staff and Principal Engineers, Directors) to align on technology direction.
Champion engineering excellence, fostering a culture of autonomy, accountability, and quality.
Provide mentorship and leadership across engineering teams.
Integrate LLMs and other GenAI models into web applications through efficient API design and implementation.
Build and optimize API endpoints enabling seamless, real-time communication between front-end applications and back-end AI services.
Design and develop secure, scalable, and high-performing Java-based microservices for AI model deployment.
Develop robust back-end systems in Java to support deployment, scalability, and ongoing maintenance of GenAI models.
Build and maintain data pipelines, including preprocessing input data and post-processing model outputs for application use.
Implement best practices for sensitive data handling and maintaining high model performance.
Use Kubernetes and Docker for containerization and orchestration to ensure scalable deployment of AI applications.
Implement CI/CD pipelines for automated testing and delivery of code changes.
Maintain scalable and secure cloud infrastructure using platforms such as Google Cloud Platform or Azure for model training, storage, and deployment.
Utilize vector databases (e.g., Pinecone, Weaviate, Faiss) for embedding management and similarity search.
Work with frameworks supporting model development and deployment, including Hugging Face, LangChain, and OpenAI ecosystem tools.
Optimize and fine-tune LLMs based on specific application needs.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, or a related field (minimum)
Expertise in Software Development.
7+ years of relevant experience, ideally with a focus on AI model integration.
Strong knowledge of GenAI/LLMs, including model selection, tuning, and embedding strategies.
Experience developing APIs enabling communication between front-end applications and AI systems.
Working knowledge of Docker and Kubernetes.
Familiarity with cloud platforms (AWS, GCP, Azure) for scalable AI deployment.
Experience with vector databases and their integration with LLM-driven applications.
Familiarity with SQL and NoSQL databases, as well as caching solutions (e.g., Redis).
Experience with CI/CD pipelines, Git, and DevOps practices.
Excellent command of English AND Polish.

Benefits

Comp & perks

The option to work from the office or 100% remotely
Opportunity to work in a diverse, international and cross-functional environment, along with leading experts.
Fulfilling careers with a range of benefits for employees and invests in providing training opportunities for their development.
Involvement in technology monitoring and choices
Your impact will be visible instantly and you will be making a difference in our users lives
Participation in building new Centre of Excellence at InPost

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Hard Skills & Tools

Javamicroservicescloud-native systemsAPI designdata pipelinesCI/CDGenAILLMsvector databasesDevOps

Soft Skills

leadershipmentorshipcollaborationengineering excellenceautonomyaccountabilityquality