AI Engineer

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2 days ago

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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

• Integrate LLMs and other GenAI models into web applications through efficient API design and implementation • Build and optimize API endpoints for 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 • Design and develop responsive and intuitive front-end applications using React.js for AI-powered applications • Develop robust back-end systems in Python for GenAI models • Build and maintain data pipelines, including preprocessing data and post-processing AI model outputs • Use Kubernetes and Docker for containerization and orchestration for AI applications • Implement CI/CD pipelines for automated testing and deployment • Maintain a scalable and secure cloud infrastructure for model training • Optimize and fine-tune LLMs 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

• Fulfilling careers with a range of benefits for employees • Provides training opportunities for 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