Lead Software Engineer, Full Stack, AI

This is a fully remote position, open to applicants in Pakistan.

📋 Description

• Lead a diverse engineering team, steering technical direction, ensuring delivery quality, and advancing platform evolution.

• Take charge of the design, development, deployment, and maintenance of full-stack applications and services.

• Collaborate closely with Product teams to shape requirements, influence the roadmap, and align technical solutions with business goals.

• Assess, prototype, and implement AI-driven capabilities, such as LLM-based features, intelligent automation, and AI-enhanced workflows.

• Provide technical leadership through architecture evaluations, code assessments, and adherence to engineering best practices.

• Design and construct scalable, secure, resilient, and observable cloud-based solutions.

• Advocate for automated testing, quality assurance, and engineering standards throughout the development lifecycle.

• Develop, maintain, and enhance CI/CD pipelines to ensure reliable and efficient software delivery.

• Effectively communicate technical designs, risks, and progress to both technical and non-technical stakeholders.

• Mentor and guide engineers, enhancing technical capabilities within the team.

• Foster a culture of collaboration, continuous improvement, and engineering excellence.

• Assist in the recruitment, onboarding, and development of engineering talent.

• Maintain comprehensive technical documentation to facilitate knowledge sharing and long-term maintainability.

⛳️ Requirements

• Over 5 years of professional software engineering experience.

• Demonstrated experience as a Senior or Lead Full Stack Software Engineer.

• Proven track record in leading engineers and delivering software solutions from inception to completion.

• Ability to drive delivery, enhance engineering practices, and advance product development.

• Experience collaborating closely with Product teams to influence requirements and roadmap decisions.

• Hands-on experience in integrating AI/ML capabilities into production software, including LLM APIs, prompt engineering, RAG architectures, or AI-driven workflows.

• Strong understanding of contemporary software architecture, design patterns, and engineering best practices.

• Experience in designing and building cloud-based applications and services.

• In-depth knowledge of CI/CD pipelines, automated deployments, and DevOps methodologies.

• Proven experience in constructing scalable, resilient, secure, and observable systems.

• Strong commitment to code quality, maintainability, testing, and operational excellence.

• Confident in making technical decisions, participating in architecture discussions, and conducting code reviews.

• Experience mentoring engineers and promoting professional development.

• Excellent communication skills with both technical and non-technical stakeholders.

• Understanding of security, resilience, operational risk, and software quality in regulated or mission-critical environments.

• Ability to translate complex business requirements into feasible technical solutions.

• Strong ownership mindset with the capacity to thrive in a fast-paced environment.

🏝️ Benefits

• Health insurance

• Professional development opportunities

• Flexible work arrangements

• Paid time off