Senior Full Stack / Applied AI Engineer (Remote, Full-Time), PK [AS282]

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 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.