Backend AI Engineer – Agentic AI (Python)

Opis oferty

Why Join Us

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.

Our projects have measurable, real-world impact, from enhancing customer experiences at scale to empowering data-driven decision-making in high-visibility global organizations. As we continue to grow, you’ll have the opportunity to shape solutions, mentor others, drive architecture decisions, and take ownership of strategic initiatives.

Opportunity Overview

As a Mid Backend AI Engineer, you will build the service layer behind agentic AI solutions, combining Python, FastAPI, and Temporal with AI agents and agentic workflows running on Azure. You’ll turn emerging AI capabilities into reliable, production-grade services.

Expect an AI-forward environment where experimentation is encouraged and your drive and problem-solving skills are genuinely valued. You’ll join a team of passionate engineers who value technical excellence, collaboration, and continuous growth.

Wymagania

• 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.

Nice to Have

• 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).

Zakres obowiązków

• 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.