Fullstack Engineer – AI-Based Applications

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November 22

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InPost Group

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eCommerce • Transport • Logistics

InPost Group is Europe's leading e-commerce enablement platform, specializing in out-of-home delivery services. Founded in 1999 by CEO Rafal Brzoska, InPost provides cost-effective and environmentally friendly delivery solutions through a robust network of Automated Parcel Machines (APMs) and courier services. The company also offers pick-up drop-off (PUDO) services, enhancing convenience and efficiency for e-commerce merchants across Europe. InPost is committed to sustainability, reducing carbon emissions significantly in its delivery processes. With operations in countries like Poland, France, Benelux, the UK, and Italy, InPost continues to expand its innovative technology solutions to drive long-term growth in the e-commerce sector.

10,000+ employees

🛍️ eCommerce

🚗 Transport

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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