




Job Summary: The Fullstack Developer (Mid-level) will be responsible for building and enhancing AI and Chatbot solutions, developing end-to-end features with a focus on generative AI. Key Highlights: 1. Participation in HSystem's strategic AI and Chatbot project 2. End-to-end development of features using generative AI 3. Active collaboration across all phases of the development lifecycle Description: The Fullstack Developer (Mid-level) will join a dedicated squad working on HSystem's strategic AI and Chatbot project, contributing to the construction, evolution, and orchestration of solutions based on LLMs, RAG, and intelligent automation. You will be responsible for end-to-end feature development, integrating backend services, system integrations, and advanced generative AI techniques. Your involvement will be critical across all stages of the process, ensuring quality, efficiency, and continuous improvement of HSystem's solutions. Responsibilities and Duties * Develop and maintain robust, scalable applications using Python (with Lambdas) and .NET Core 8\. * Design and implement RAG (Retrieval-Augmented Generation) pipelines integrated with the chatbot and HSystem's systems. * Create, optimize, and evaluate advanced prompts, including persona prompts, one-shot prompts, chain-of-thought prompts, and other Prompt Engineering techniques. * Work with AWS services (Lambdas, API Gateway, S3, DynamoDB, etc.), ensuring performance and security. * Apply generative AI (Gemini, GPT, Claude, etc.) throughout the development process to optimize code, testing, documentation, and solutions. * Actively collaborate across all phases of the development lifecycle, participating in technical discussions and architectural decisions. * Apply Clean Code, SOLID, MVC, and DDD principles to ensure solution quality, maintainability, and consistency. * Integrate and orchestrate models using tools such as LangChain, CrewAI, or similar frameworks. * Contribute to continuous improvement of processes, platform architecture, and technical governance. Requirements and Qualifications * Collaborative, proactive profile with broad vision regarding product, architecture, and continuous evolution. * Proven experience with LLMs (Gemini preferred). * Proficiency in Prompt Engineering (persona prompts, one-shot prompts, chain-of-thought, prompt tuning). * Experience with RAG. * Solid knowledge of Python (including Lambdas) and .NET Core 8\. * Hands-on experience with the AWS ecosystem. * Familiarity with Git and best practices in software engineering. * Interest in and practical experience applying AI within the development process itself. 2511270202401888458


