Top Software Engineer Jobs in Milan

Develop and maintain scalable backend services for generative AI applications, focusing on Python and AWS integration, while collaborating with teams.

The AI Backend Python Engineer will design and develop backend systems for generative AI applications, overseeing API delivery and AWS infrastructure while mentoring junior engineers.

As an Informatics Software Engineer, you will design and develop applications, collaborate with teams, and ensure software compliance and quality.

As an Advanced Software Engineer, you'll lead the technical direction for back-end services, ensuring quality, scalability, and maintainability while mentoring peers in a fast-paced environment.

As a Senior Software Engineer, you'll develop and maintain core systems, mentor junior colleagues, drive team improvements, and ensure effective systems architecture.

The Software Developer in Test will develop automation tools, design test cases, and enhance testing strategies for software quality, participating in scrum activities.

As a Software Engineer in the AI Gateway Team, you'll build and maintain API management software for AI and LLMs, implement new features, troubleshoot bugs, and optimize performance.

Design and execute manual and automated tests for applications. Collaborate in Agile Scrum teams ensuring high-quality software delivery.

The Software Engineer, Platform will build and maintain complex systems, participate in product decisions, and work on universal architecture across products.

As a Senior iOS Engineer at Speechify, you'll lead engineering decisions, actively ship production code, shape product roadmaps, and enhance app architecture.

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

The Software Engineer will develop and improve payment systems, collaborate on product features, and ensure the platform's reliability while promoting team growth and operational readiness.

As an AI Software Developer, you'll integrate Machine Learning models, design APIs and UIs, and deploy solutions in cloud environments.

Develop and maintain web applications using Node.js, TypeScript, and React.js. Manage relational and non-relational databases, optimize performance, and participate in Agile development processes.

The role involves optimizing deep learning models, enhancing NVIDIA's inference libraries, and collaborating across teams to improve AI application performance.

The Software Engineer will enhance DoiT's Cloud Intelligence product by creating and optimizing AI and cloud technology solutions, collaborating with teams, and addressing technical challenges.

Seeking an experienced AWS Software Engineer to help migrate services to a new platform, focusing on reliability, scalability, and security, while managing CI/CD pipelines and infrastructure.

As a Software Engineer, you will build and develop the Mindly product, focusing on user needs, implementing reliable code, and collaborating with cross-functional teams.

As a Software Engineer, you'll develop software solutions, practice TDD, collaborate with teammates, and improve systems while working in a remote, flexible environment.

Design and implement new functionalities for trading applications, focusing on complex components and performance-critical subsystems while collaborating with teams.

Develop and maintain integrations for Acronis Cyber Cloud, enhance billing systems, and participate in code reviews while collaborating with QA and Support teams.

The role involves designing and implementing features, debugging, maintaining documentation, and collaborating with the community in the Mir graphics stack.