- Professional
- Optionales Büro in Bangalore
We are seeking a motivated Full Stack Developer to design, build, and deploy custom AI solutions leveraging Large Language Models (LLMs). This role involves end-to-end development, from a Python backend and SQLite database to a modern web frontend. The core focus will be on creating applications that analyze document knowledge to automatically generate testing artifacts like test scopes and test cases. The ideal candidate will have strong experience with API integrations, particularly with enterprise systems such as SharePoint and Jira.Key Responsibilities- Design, develop, and maintain robust and scalable full-stack web applications.- Build custom AI-driven features using Python and integrating with various Large Language Models (LLMs).- Implement solutions that process and extract insights from document repositories to create testing artifacts.- Manage and optimize SQLite databases for application performance and data integrity.- Develop intuitive and responsive user interfaces using standard web frameworks (e.g., React, Vue, Angular).- Create and manage API integrations with third-party platforms, including SharePoint and Jira.- Collaborate with product managers and stakeholders to define feature requirements and deliverables.- Write clean, maintainable code and comprehensive technical documentation.- Troubleshoot, debug, and upgrade existing software systems.Required Qualifications- Proven experience as a Full Stack Developer.- Strong proficiency in backend development with Python.- Solid experience with frontend technologies, including HTML, CSS, JavaScript, and a modern framework like React, Angular, or Vue.js.- Demonstrable experience working with databases, specifically SQLite.- Experience developing and consuming RESTful APIs.- Hands-on experience building integrations with external systems such as SharePoint and Jira.- Familiarity with version control systems, primarily Git.- Excellent problem-solving and analytical skills.Preferred Qualifications- Direct experience with LLM APIs (e.g., OpenAI, Anthropic) and frameworks (e.g., LangChain).-Understanding of Natural Language Processing (NLP) concepts.- Background in software quality assurance or test automation.- Experience with cloud platforms and deployment (e.g., AWS, Azure, GCP).- Familiarity with containerization technologies like Docker or Kubernetes3 must havesFull Stack Dev 4/5API 4/5NLP 3/5
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