AI Principal Software Engineer, Java
InPost Group
full-time
Posted on:
Location Type: Remote
Location: Poland
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Job Level
Tech Stack
About the role
- 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
- Bachelor’s degree in Computer Science, Engineering, or a related field (minimum).
- 7+ years of relevant experience, ideally with a focus on AI model integration.
- Proficiency in Java for backend development.
- 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
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
JavaAPI designmicroservicescloud-native systemsdata pipelinesCI/CDsensitive data handlingGenAILLMsvector databases
Soft Skills
leadershipmentorshipcollaborationengineering excellenceautonomyaccountabilityquality focus