Back
Mid-level experience, metro location, and broad fullstack skillset increase applicant density.
Fullstack engineering and AI integration skills are readily transferable across industries and domains.
Explicit five-year requirement plus many mandatory technical skills makes shortlisting stringent.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and maintain AI-enabled automation solutions including APIs, data workflows, and reusable components using Python, Django, JavaScript, and TypeScript.
Enhance and support full-stack web applications covering backend (Django) and frontend (JavaScript/jQuery/TypeScript) with secure, maintainable delivery practices.
Collaborate with business and technical stakeholders to translate requirements into reliable automation, reporting, and browser/desktop automation solutions in fast-paced, regulated environments.
Approximately 5 years of relevant experience in software engineering, automation, or AI-enabled application development.
Strong hands-on Python and Django development experience with backend services, scripting, migrations, and multi-database configurations.
Strong JavaScript proficiency including jQuery, vanilla JS, AJAX, DOM manipulation, and TypeScript working knowledge.
Experience with MySQL and PostgreSQL, REST APIs, Git, Docker, browser automation (Selenium/Playwright), PowerBI report building, and practical LLM API integration.
Experienced full-stack engineer comfortable working across backend, frontend, middleware, automation, and AI integration.
Capable of delivering production-grade, secure, maintainable, and performant automation and reporting solutions for enterprise or regulated domains.
Able to communicate technical trade-offs clearly with cross-functional teams and handle complex problem-solving with practical engineering judgment.