Project tasks:

• Develop and maintain backend web services for an AI-powered conversational system
• Design and implement REST APIs (FastAPI or similar), including OpenAPI-based service contracts
• Apply schema and data validation (e.g., Pydantic or comparable approaches)
• Ensure high code quality through testing (pytest) and CI pipelines
• Collaborate via Git/GitHub workflows, including code reviews
• Implement and maintain clean, layered backend architectures with dependency injection
• Ensure observability through metrics, tracing, and structured logging
• Support containerized deployments using Docker and Kubernetes
• Contribute to LLM-based application components (e.g., agent frameworks, prompt engineering, output evaluation)
• Apply production-ready engineering practices in a regulated/enterprise environment

Qualifications:

• Senior Python Backend Engineer with strong backend fundamentals
• Strong expertise in modern Python (3.12+), including type hints and async programming
• Proven experience building REST APIs (FastAPI or similar frameworks)
• Experience with schema validation (e.g., Pydantic) and API design (OpenAPI)
• Solid testing experience (pytest) and CI/CD pipeline integration
• Experience with Git/GitHub workflows and code reviews
• Familiarity with Docker and Kubernetes in production environments
• Understanding of clean architecture, layered design, and dependency injection
• Experience with observability (logging, metrics, tracing)
• Hands-on experience with LLM-based applications (e.g., LangChain, LangGraph, prompt engineering) is a strong differentiator

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