Senior Full Stack Engineer (Python / Angular / Generative AI)

In4ge is a recruitment company connecting talented employees with appropriate companies, fostering synergistic relationships that contribute to growth and success. The company values collaboration in an atmosphere of mutual respect and trust.

• Experience in backend development with Python and FastAPI, including REST API creation and integration.
• Knowledge of Angular and TypeScript.
• Proficiency in SQL and PostgreSQL.
• Experience with Git, Docker, CI/CD, and automated testing.
• Experience with LLM and Generative AI, integrating AI with production applications.
• Advanced practical use of AI tools such as Claude Code and GitHub Copilot.
• Effective use of advanced AI models in coding, debugging, refactoring, testing, and analysis.
• Experience in developer processes using AI agents, including delegation while maintaining control over architecture and code quality.
• Knowledge of prompt engineering, context engineering, structured outputs, and tool/function calling.
• Ability to independently understand business requirements and deliver complete functionalities.
• Practical English proficiency at least B2/C1 level for daily communication with English-speaking clients and colleagues.

Nice to have:

• Experience with MCP servers and AI agent tools.
• Experience with OCR, document processing, and multimodal AI.
• Experience with Azure/Azure OpenAI, corporate system APIs, and authentication mechanisms like OAuth2 / Azure AD.

• Develop backend systems in Python and FastAPI, creating REST APIs and integrating with external systems.
• Develop frontend applications using Angular and TypeScript.
• Handle data using SQL and PostgreSQL.
• Integrate Large Language Models (LLM) and Generative AI with production applications.
• Prepare prompts and contexts for AI models and handle structured outputs including tool/function calls.
• Use Claude Code, GitHub Copilot, and advanced AI models for code creation, debugging, refactoring, testing, and application analysis.
• Perform development tasks assisted by AI agents, retaining responsibility for architecture and code quality.
• Utilize Git, Docker, CI/CD pipelines, and automated tests in software development.
• Translate business requirements independently into fully realized functionalities.