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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Python Full Stack Developer - **Company:** Technologent, Inc. - **Location:** Sunrise, FL, United States - **Experience:** Experienced - **Contract:** Temporary contract - **Skills:** Clean Code Principles, Computer-Aided Design, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Applications Architecture, Component-Based Software Engineering, Application Integration Architecture, Software Applications, Application Performance Management, Code Review, Computer Programming, Databases, Software Debugging, Integrated Development Environments, Python (Programming Language), Software Engineering, Systems Integration, Web Application Frameworks, Workflow Management Systems, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Generative AI, Backend, Fastapi, Information Technology, Front End Software Development, Api Design, Web Api - **Published:** September 23, 2026 - **Apply:** https://careers.technologent.com/careers/73765/jobs/16857021-Python-Full-Stack-Developer/apply ## About the Role * Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline. * 7+ years of professional software development experience. * At least 2 years of practical experience developing Generative AI applications * Strong hands-on programming experience with Python. * Proven experience building AI agents and agentic application workflows. * Practical experience with LangGraph and LangChain or comparable agent-development frameworks. * Strong understanding of Generative AI application development concepts. * Experience developing backend services, APIs, and application integrations using Python. * Understanding of application architecture, software development practices, and API-based integrations. * Experience working with full-stack application development is preferred. * Ability to troubleshoot, test, debug, and enhance software applications. * Strong understanding of software engineering principles and development lifecycle practices. Preferred Qualifications * Experience developing production-grade Generative AI applications. * Experience creating sophisticated multi-agent or agentic workflows. * Experience using LangGraph for workflow orchestration and stateful AI applications. * Experience using LangChain for LLM-based application development and integrations. * Familiarity with integrating AI applications with external APIs, databases, and enterprise systems. * Experience developing both server-side and client-facing application components. * Knowledge of modern web application frameworks and full-stack development practices. * Experience improving the performance, scalability, and reliability of AI-powered applications. * Familiarity with AI application testing, monitoring, debugging, and optimization. * Experience working in Agile software development environments., * A strong Python developer with proven experience building Generative AI solutions. * Someone who has hands-on experience developing AI agents and agentic workflows rather than only working with traditional Python applications. * A developer comfortable using LangGraph and LangChain to create intelligent, workflow-driven applications. * Someone capable of taking an AI application from concept through implementation and integration. * A technically strong engineer who can develop reliable backend services and contribute to full-stack functionality. * Someone who understands how to integrate AI capabilities with APIs, applications, and external systems. * A problem solver who can investigate technical issues, improve application performance, and deliver maintainable code. * A professional who can collaborate effectively with cross-functional teams while working in a fast-moving Generative AI development environment. ## Description * Build and enhance Generative AI solutions using Python and modern AI development frameworks. * Design and implement intelligent AI agents capable of performing multi-step tasks and interacting with various services and data sources. * Develop agent-based workflows using frameworks such as LangGraph and LangChain. * Create Python-based backend services and application components supporting AI-powered solutions. * Design application logic that enables AI systems to process information, make decisions, and execute defined actions. * Integrate Generative AI capabilities with APIs, databases, enterprise applications, and other technology platforms. * Develop reusable components and services for AI-driven application functionality. * Build workflows that support agent orchestration, tool usage, state management, and multi-step execution. * Troubleshoot application, integration, and AI workflow issues across development environments. * Optimize Python applications for scalability, maintainability, reliability, and performance. * Contribute to frontend development and integration of user-facing application functionality. * Work across backend and frontend components to deliver complete application features. * Collaborate with engineering, product, and technical teams to understand requirements and translate them into working solutions. * Perform testing, debugging, code reviews, and continuous improvement of application components. * Stay current with emerging Generative AI technologies, agent architectures, and development practices. ## Related Videos - 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