ironquill.tech/board

$ cat jobs/senior-full-stack-applied-ai-engineer-remote-full-time-as216-smart-working-801007583502.json

Senior Full Stack / Applied AI Engineer (Remote, Full-Time) [AS216]

smart working·APAC·India·senior
python
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About Smart Working At Smart Working , we believe your job should not only look right on paper but also feel right every day. This isn’t just another remote opportunity - it’s about finding where you truly belong, no matter where you are. From day one, you’re welcomed into a genuine community that values your growth and well-being. Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles. We help you discover meaningful work with teams that invest in your success, where you’re empowered to grow personally and professionally. Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world. About the Role We’re looking for a Senior Full Stack / Applied AI Engineer to join a small, high-impact team working at the intersection of product engineering and AI-driven solutions. This is not a traditional full-stack role. It’s a highly autonomous, product-focused position where you’ll take ownership from idea to production, working across backend, frontend, architecture, and AI-enabled features. You’ll operate in a fast-paced, low-process environment, translating ambiguous stakeholder needs into working solutions while balancing rapid delivery with long-term quality. You’ll work across both improving an existing Python-based application and building new AI-powered solutions, often prototyping and shipping within short timeframes. This role requires strong engineering judgment, a proactive mindset, and the ability to bring structure and best practices into an evolving environment. Responsibilities Translate ambiguous stakeholder requirements into structured solutions, user flows, and deliverables Design system architecture, making decisions around scalability, maintainability, and security Build and deliver end-to-end features across frontend and backend with full ownership Rapidly prototype AI-enabled solutions

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