Integrate Generative AI and Large Language Models into web applications through scalable API design and microservices. Develop robust Python back-end systems and data pipelines while managing cloud infrastructure and containerization.
InPost
25 Remote Job Openings at InPost
The role focuses on ensuring group-wide HR data consistency, reporting, and alignment across systems like SAP SuccessFactors. It involves collaborating with HR controllers and stakeholders to design data processes and monitoring solutions.
The role focuses on ensuring group-wide HR data consistency, reporting, and alignment across systems like SAP SuccessFactors. It involves collaborating with HR controllers and stakeholders to design data processes and monitoring solutions.
The role focuses on ensuring group-wide HR data consistency, reporting, and alignment across systems like SAP SuccessFactors. It involves collaborating with HR controllers and country heads to design data processes and monitoring solutions.
Integrate Generative AI and LLMs into web applications through secure API design and scalable microservices. Develop robust Python back-end systems and data pipelines while managing cloud infrastructure using Kubernetes and Docker.
Oversee and develop the Widget & BasketApp team by mentoring engineers and fostering a high-performance environment. Drive the product roadmap execution while providing technical leadership in architecture, security, and engineering excellence.
Design, develop, and maintain high-quality native Android applications using Kotlin and Java for consumer-facing products. Collaborate with cross-functional teams to translate business needs into scalable technical solutions while optimizing existing codebases.
Design and implement a cloud-native platform architecture on GCP to serve as the foundation for the entire engineering organization. Establish scalable guardrails, cloud governance, and reusable infrastructure to enable self-service provisioning.
Build and maintain an Internal Developer Platform to streamline software deployment and eliminate infrastructure complexity. Provision and monitor cloud infrastructure across AWS, Azure, and GCP while implementing security best practices.
Design and implement a cloud-native platform architecture and scalable guardrails on GCP for the entire engineering organization. Define cloud governance, IAM strategies, and create reusable infrastructure to enable self-service provisioning.
Integrate Generative AI and LLMs into web applications through secure API design and scalable microservices. Develop robust Python back-end systems and data pipelines while managing cloud infrastructure using Kubernetes and Docker.
Build and maintain an Internal Developer Platform to streamline software deployment and eliminate infrastructure complexity. Provision and monitor cloud infrastructure across AWS, Azure, and GCP while implementing security best practices.
Design, develop, and maintain high-quality native Android applications using Kotlin and Java. Collaborate with cross-functional teams to translate business needs into scalable technical solutions and optimize existing codebases.
Design and implement a cloud-native platform architecture on GCP to serve as the foundation for the engineering organization. Define cloud governance, IAM strategies, and create reusable infrastructure for self-service provisioning.
Build and maintain an Internal Developer Platform to streamline software deployment and eliminate infrastructure complexity. Provision and automate cloud infrastructure across AWS, Azure, and GCP while ensuring security and observability.
The role involves analyzing business needs and translating them into practical Anaplan solutions for the InPost Group's budget model. Responsibilities include designing, modeling, testing, and maintaining Anaplan solutions while creating technical and user documentation.
The AI Engineer will integrate Generative AI models and LLMs into web applications using efficient API design and scalable microservices. They will also manage cloud infrastructure, maintain data pipelines, and implement CI/CD processes to ensure high-performing AI deployments.
The AI Engineer will integrate Generative AI models and Large Language Models into web applications through efficient API design and microservices. They are also responsible for building robust back-end systems, maintaining data pipelines, and managing scalable cloud infrastructure.
You will design and implement a cloud-native platform architecture on GCP while building scalable guardrails for multi-team environments. Additionally, you will define cloud governance strategies and create reusable infrastructure to enable self-service provisioning.
The role involves integrating Large Language Models (LLMs) and other Generative AI models into web applications through efficient API design and development. Key tasks include building robust Python back-end systems, maintaining data pipelines, and deploying AI applications using containerization technologies.
The AI Engineer will integrate Generative AI models into web applications and develop both front-end and back-end systems to support these integrations. Responsibilities also include building APIs, maintaining data pipelines, and ensuring scalable deployment of AI applications.
The AI Engineer will integrate Generative AI models into web applications and develop both front-end and back-end systems to support these integrations. Responsibilities also include building APIs, maintaining data pipelines, and ensuring scalable deployment of AI applications.
The AI Engineer will integrate Generative AI models into web applications and develop both front-end and back-end systems to support AI functionalities. This role involves building APIs, optimizing microservices, and maintaining cloud infrastructure for scalable AI solutions.
Integrate Generative AI models into web applications and develop APIs for seamless interaction. Design and maintain both front-end and back-end systems to support AI functionalities.
Integrate Generative AI models into web applications and develop APIs for seamless interaction. Design and maintain both front-end and back-end systems to support AI model deployment and user experience.
