Backend AI engineer

At Cloudfide, we engineer solutions where data truly becomes an accelerator for innovation. We build and evolve large-scale Big Data and cloud-native platforms for global clients, including leaders in retail and the Fortune 500. We process massive, complex datasets, operate fully in the cloud ecosystem, and work with the latest technologies, including AI, ML, MLOps, and modern data architectures.

• Designing and building service layers for applications using Python and FastAPI.
• Developing AI agents and agentic workflows, including those based on GitHub Agentic Workflows.
• Building durable, reliable workflow orchestration with Temporal.
• Integrating AI agents with backend services, APIs, and external systems.
• Deploying and running solutions on Azure.
• Ensuring the performance, reliability, and maintainability of backend services.
• Translating business requirements into well-structured technical tasks and delivering features end-to-end.
• Conducting code reviews and contributing to documentation and best practices.
• Exploring emerging AI technologies and proposing improvements to the solutions and architecture.

• 3+ years of commercial experience in backend development with Python.
• Proven experience building service layers in applications, with a good grasp of clean architecture and API design.
• Hands-on experience with FastAPI.
• Experience with Temporal or other workflow orchestration tools.
• Practical experience building AI agents and agentic workflows, ideally with GitHub Agentic Workflows.
• Experience working with Azure.
• Drive and self-reliance: the ability to work independently and push things forward.
• Strong problem-solving skills and a pragmatic approach to technical challenges.
• Genuine interest in emerging AI technologies.
• Fluent English communication, able to collaborate effectively across international teams.
• Будет плюсом: Understanding of core LLM concepts, such as prompt and context engineering, tool calling, RAG, and evaluation; Experience building or operating MCP servers; Experience with CI/CD pipelines (GitHub Actions or Azure DevOps); Familiarity with containerization (Docker) and infrastructure as code (Terraform/Bicep); Experience with testing frameworks (e.g. pytest)

• MyBenefit platform / Multisport
• Enel-Med private medical care
• Annual 2,000 PLN development budget
• Access to e-learning platforms
• Real opportunities to expand responsibility and lead initiatives; most of our Leads come from internal promotions
• Long-term cooperation: UZ or B2B (we value stable, lasting relationships)
• Remote-first, work from anywhere in the world (workation)
• Flexible hours & strong focus on work-life balance
• Collaboration with top engineers you can truly learn from
• Flat structure: every voice counts, and you help shape the company
• Company-wide trips (including international ones)
• Team integration budgets
• Open communication and supportive, passionate teams