Lead Software Engineer Full Stack & AI Remote, Full-Time AS251

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 are looking for an experienced Lead Software Engineer to provide technical leadership and drive the delivery of a cloud-based learning and compliance platform. This is a hands-on role that combines software engineering, architecture, AI innovation, and team leadership.

You will lead a cross-functional engineering team, work closely with Product stakeholders to shape the roadmap, and play a key role in identifying and delivering AI-powered features that create meaningful user value. The role requires someone who can balance strategic thinking with hands-on development, while driving engineering excellence, delivery pace, and continuous improvement.

The ideal candidate will have a strong background in full-stack software development, experience leading engineers, and a proven ability to design and deliver scalable, secure, and cloud-native solutions in complex environments.

Responsibilities

• Lead a cross-functional engineering team, driving technical direction, delivery quality, and platform evolution.
• Take ownership of the design, development, deployment, and maintenance of full-stack applications and services.
• Work closely with Product teams to shape requirements, influence the roadmap, and align technical solutions with business objectives.
• Evaluate, prototype, and implement AI-powered capabilities, including LLM-based features, intelligent automation, and AI-enhanced workflows.
• Provide technical leadership through architecture reviews, code reviews, and engineering best practices.
• Design and build scalable, secure, resilient, and observable cloud-based solutions.
• Champion automated testing, quality assurance, and engineering standards across the development lifecycle.
• Build, maintain, and improve CI/CD pipelines to support reliable and efficient software delivery.
• Communicate technical designs, risks, and progress effectively to both technical and non-technical stakeholders.
• Mentor and support engineers, helping to develop technical capability across the team.
• Promote a culture of collaboration, continuous improvement, and engineering