Senior Full Stack / Applied AI Engineer (Remote, Full-Time), PK [AS216] at smart-working-solutions

<div> <p><strong>About Smart Working</strong></p> <p>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.</p> <p>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.</p> <p>Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.</p> <p><strong>About the Role</strong></p> <p>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.</p> <p>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.</p> <p>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.</p> </div> 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 and evolve them into production-ready systems • Improve and scale an existing Python-based application, addressing backlog, performance, and UX gaps • Define and implement UX flows and usability improvements (not visual design, but user journeys) • Integrate with APIs, including AI-driven services, and design robust data flows • Apply secure development practices and ensure systems are reliable and maintainable • Balance speed of delivery with long-term engineering quality and structure • Contribute to and elevate engineering practices (architecture, SDLC, testing) through hands-on work • Collaborate with stakeholders and team members while operating with a high degree of independence Requirements • Strong experience with Python (5+ years) in production environments • Proven experience in system design and architecture (5+ years), including making trade-offs • Hands-on experience with AI-assisted development tools (e.g., Codex, Claude, or similar) in real workflows • Strong experience integrating APIs, including AI or data-driven services (3+ years) • Solid frontend experience with React and modern JavaScript/HTML (3+ years or equivalent frameworks) • Experience owning features or products end-to-end, from concept to delivery (3+ years) • Strong understanding of SDLC, engineering best practices, and code quality standards • Experience working in ambiguous environments and shaping requirements independently • Proven ability to prototype quickly and deliver at pace (2+ years) • Strong stakeholder communication skills and ability to translate business needs into technical solutions (5+ years) • Good understanding of UX flows and usability principles (2+ years) • Experience working with databases and data modelling (3+ years) • Understanding of secure development practices (3+ years) • Experience handling data pipelines or ETL processes (2+ years) • High ownership mindset with the ability to operate independently in a low-structure environment Nice to Have • Experience working in small, high-autonomy teams without dedicated QA or BA support • Exposure to building AI-powered products or LLM-based workflows in production • Experience improving engineering maturity (architecture, testing, SDLC) within teams • Familiarity with rapid prototyping tools and experimentation environments • Strong product mindset with the ability to balance user needs, business goals, and technical constraints At Smart Working, you’ll never be just another remote hire. Be a Smart Worker - valued, empowered, and part of a culture that celebrates integrity, excellence, and ambition. If that sounds like your kind of place, we’d love to hear your story.