Backend AI Engineer – Agentic AI (Python)

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MidZdalnie·WarszawaFull-time

#471644·Dodano 5 dni temu·2

Źródło: nofluffjobs.com

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Tech Stack / Keywords

RAGModel Context ProtocolLLM PythonFast APIGitHub Agentic Workflows

Podsumowanie oferty

Build the service layer behind agentic AI solutions, developing AI agents and reliable workflows with Python, FastAPI and Temporal on Azure. The role combines backend services with agentic workflows and their integration with APIs and external systems.

Wymagania

At least 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; experience with GitHub Agentic Workflows is preferred.
Experience working with Azure.
Ability to work independently and move work forward.
Strong problem-solving skills and a pragmatic approach to technical challenges.
Genuine interest in emerging AI technologies.
Fluent English communication and ability 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 Model Context Protocol (MCP) servers.
Experience with CI/CD pipelines, such as GitHub Actions or Azure DevOps.
Familiarity with containerization using Docker and infrastructure as code using Terraform or Bicep.
Experience with testing frameworks such as pytest.

Obowiązki

Design and build application service layers using Python and FastAPI.
Develop AI agents and agentic workflows, including workflows based on GitHub Agentic Workflows.
Build durable, reliable workflow orchestration with Temporal.
Integrate AI agents with backend services, APIs and external systems.
Deploy and run solutions on Azure.
Ensure the performance, reliability and maintainability of backend services.
Translate business requirements into well-structured technical tasks and deliver features end-to-end.
Conduct code reviews and contribute to documentation and best practices.
Explore emerging AI technologies and propose improvements to solutions and architecture.

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