• Work hand-in-hand with leadership and cross-functional teammates to prioritize and execute on our product roadmap. • Own the end-to-end development of new AI features, from rapid prototyping to full implementation in our core product. • Deliver robust, scalable, and thoroughly tested code. • Help define and establish best practices that lay the foundation for a high-performing engineering team and culture. • Collaborate with Design and Operations teams to make Aleph better every day.

• Build and evolve the content corpus infrastructure: graph databases, search indexes, and embedding pipelines • Design AI agent capabilities for DCS Pulse: Retrieval, recommendation, and content generation • Develop semantic search and retrieval systems across Natuvion's transformation knowledge base • Evaluate and integrate new AI models, tools, and techniques as the field moves • Establish best practices for AI application and agentic coding across the team and the wider organization

• Collaborate with engineering teams to integrate AI-generated code (from tools like Claude and GitHub Copilot) into a 1.1M+ line production codebase, focusing on improving code integration, QA, and velocity. • Design, implement, and optimize processes for AI-assisted software development, including prompt engineering, agent workflows, and automated testing. • Develop and maintain tools and workflows to streamline code review, testing, and deployment of AI-generated code. • Work with stakeholders to define and document current architecture, development practices, and requirements for AI agents. • Support the creation of a data pipeline and architecture to enable business intelligence, analytics, and future AI/ML model training on operational data. • Explore and implement solutions for anomaly detection and real-time monitoring of operational data (e.g., turnstile and access control logs). • Stay up to date with the latest AI/ML and agent-based development practices, and coach the team on best practices and new tools. • (Optional/future) Contribute to the development of proprietary models or data products leveraging unique datasets.

Company Description InPost Group is an innovative European out of home deliveries company, revolutionizing the way parcels are delivered to customers. With operations across several countries, our network of intelligent lockers provides customers with a fast, convenient, and secure delivery option. InPost Group is a publicly traded company, with a market capitalization of about $5 billion as of March 2023. With over 10,000 employees worldwide, InPost Group is one of the largest out of home delivery providers in Europe, committed to providing sustainable and efficient delivery solutions to meet the evolving needs of customers in today's rapidly changing landscape. Job Description We are seeking a skilled and innovative AI Engineer expertise who has experience working with Generative AI (GenAI) models, such as Large Language Models (LLMs), and implementing these solutions into web applications. This role combines the responsibilities of a full-stack developer with advanced knowledge of machine learning models, APIs, and cloud infrastructure, focusing on integrating state-of-the-art AI capabilities into user-friendly and efficient web-based applications. Key Responsibilities: Model Integration & API Development: - Integrate LLMs and other GenAI models into web applications through efficient API design and implementation. - Build and optimize API endpoints to allow seamless, real-time interaction between front-end applications and back-end AI models. - Design and develop secure, scalable, and high-performing microservices for AI model deployment. Back-End Development & AI Pipelines: - Develop robust back-end systems in Python to support the deployment, scalability, and maintenance of GenAI models. - Build and maintain data pipelines, including preprocessing data and post-processing AI model outputs for consumption by applications. - Implement best practices for handling sensitive data and maintaining model performance. Infrastructure & Deployment: - Use Kubernetes and Docker for containerization and orchestration to ensure scalable deployment and management of AI applications. - Implement continuous integration and continuous deployment (CI/CD) pipelines for automated testing and deployment of code changes. - Maintain a scalable and secure cloud infrastructure, leveraging platforms such as Google Cloud Platform, or Azure for model training, storage, and deployment. LLM and GenAI Ecosystem Expertise: - Utilize vector databases (e.g., Pinecone, Weaviate, or Faiss) to manage and retrieve embeddings for efficient similarity search and recommendation systems. - Work with frameworks for model development and deployment, including Hugging Face Transformers, LangChain, and OpenAI. - Optimize and fine-tune LLMs to improve performance based on application needs. Qualifications - Min Bachelor's degree in Computer Science, Engineering, or a related field. - 7+ years of experience as a full-stack developer, ideally with a focus on AI model integration. - Proficiency in Python - Strong knowledge of GenAI models and LLMs, including experience with model selection, tuning, and embedding strategies. - Experience with API development and integration to facilitate communication between front-end applications and AI models. - Working knowledge of containerization technologies like Docker and container orchestration with Kubernetes. Familiarity with cloud platforms (AWS, GCP, or Azure) for AI model deployment and scalability. - Proficient in vector databases and their integration with LLM models for enhanced application functionality. - Familiarity with database management (SQL, NoSQL) and caching solutions (e.g., Redis). - Experience in CI/CD pipelines, code versioning (Git), and DevOps practices. - Excellent knowledge of English AND Polish. Preferred Qualifications: - Knowledge of streaming architectures for real-time data processing and ingestion (e.g., Apache Kafka). - Familiarity with serverless architectures (e.g., AWS Lambda) for scalable deployment of AI features. - Prior experience in ML frameworks like TensorFlow, PyTorch, or ONNX. - Understanding of data privacy and security best practices in AI applications. Soft Skills: - Strong problem-solving skills and ability to work independently and as part of a team. - Excellent communication skills to translate technical requirements into actionable development tasks. - Proactive approach to staying updated with emerging AI technologies and frameworks. Additional Information ​​​​​​Why Join InPost? - This is a unique opportunity to work on cutting-edge AI applications that leverage the latest advancements in Generative AI and Large Language Models, impacting the future of intelligent software development. - 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 - Direction: Software Developers - InPost Tech - Organisation: InPost Group - Technology