Fullstack Engineer – AI-Based Applications

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InPost Group

WebsiteLinkedInAlle Stellen

10.000+ Mitarbeiter

🛍️ eCommerce

🚗 Transport

eCommerce • Transport • Logistics

Die InPost Gruppe ist Europas führende E-Commerce-Enablement-Plattform, spezialisiert auf Lieferdienste für den außerhäuslichen Bereich. Gegründet 1999 von CEO Rafal Brzoska, bietet InPost kosteneffiziente und umweltfreundliche Lieferlösungen durch ein robustes Netzwerk aus automatisierten Paketstationen (APM) und Kurierdiensten. Das Unternehmen bietet zudem Abhol- und Abgabestellen (PUDO) an, die den Komfort und die Effizienz für E-Commerce-Händler in ganz Europa erhöhen. InPost engagiert sich für Nachhaltigkeit und reduziert erheblich CO2-Emissionen in seinen Lieferprozessen. Mit Niederlassungen in Ländern wie Polen, Frankreich, Benelux, Großbritannien und Italien expandiert InPost kontinuierlich seine innovativen Technologie-Lösungen, um langfristiges Wachstum im E-Commerce-Sektor zu fördern.

Beschreibung

• 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. • Front-End Development: Design and develop responsive and intuitive front-end applications using React.js to enhance the user experience of AI-powered applications. • Implement front-end components to visualize, interpret, and manage AI model outputs effectively. • 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.

🎯 Anforderungen

• Min Bachelor's degree in Computer Science, Engineering, or a related field. • 3+ years of experience as a full-stack developer, ideally with a focus on AI model integration. • Proficiency in Python for backend development and React.js for frontend development. • 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.

🏖️ Vorteile

• Opportunity 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