About this role
• 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 excellence. • Support recruitment, onboarding, and development of engineering talent. • Maintain clear technical documentation to support knowledge sharing and long-term maintainability.
• 5+ years of professional software engineering experience. • Proven experience as a Senior or Lead Full Stack Software Engineer. • Experience leading engineers and delivering software solutions end-to-end. • Demonstrated ability to drive delivery, improve engineering practices, and move products forward. • Experience working closely with Product teams, influencing requirements and roadmap decisions. • Hands-on experience integrating AI/ML capabilities into production software, including LLM APIs, prompt engineering, RAG architectures, or AI-powered workflows. • Strong understanding of modern software architecture, design patterns, and engineering best practices. • Experience designing and building cloud-based applications and services. • Strong knowledge of CI/CD pipelines, automated deployments, and DevOps practices. • Experience building scalable, resilient, secure, and observable systems. • Strong commitment to code quality, maintainability, testing, and operational excellence. • Confident in technical decision-making, architecture discussions, and code reviews. • Experience mentoring engineers and supporting professional development. • Excellent communication skills with both technical and non-technical stakeholders. • Understanding of security, resilience, operational risk, and software quality within regulated or mission-critical environments. • Ability to translate complex business requirements into practical technical solutions. • Strong ownership mindset with the ability to operate effectively in a fast-paced environment.
• Experience working within healthcare, compliance, learning, or other regulated industries. • Experience implementing AI solutions in regulated or customer-facing environments. • Knowledge of responsible AI practices and governance considerations. • Experience supporting large-scale SaaS platforms. • Exposure to advanced observability, platform engineering, or infrastructure practices. • Experience improving engineering culture, processes, and software delivery standards. • Involvement in hiring, onboarding, or building engineering teams. • Passion for emerging AI technologies and their practical application in software development.
• Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter) • No Weekend Work: Real work-life balance, not just words • Day 1 Benefits: Laptop and full medical insurance provided • Support That Matters: Mentorship, community, and forums where ideas are shared • True Belonging: A long-term career where your contributions are valued
• 5+ years of professional software engineering experience. • Proven experience as a Senior or Lead Full Stack Software Engineer. • Experience leading engineers and delivering software solutions end-to-end. • Demonstrated ability to drive delivery, improve engineering practices, and move products forward. • Experience working closely with Product teams, influencing requirements and roadmap decisions. • Hands-on experience integrating AI/ML capabilities into production software, including LLM APIs, prompt engineering, RAG architectures, or AI-powered workflows. • Strong understanding of modern software architecture, design patterns, and engineering best practices. • Experience designing and building cloud-based applications and services. • Strong knowledge of CI/CD pipelines, automated deployments, and DevOps practices. • Experience building scalable, resilient, secure, and observable systems. • Strong commitment to code quality, maintainability, testing, and operational excellence. • Confident in technical decision-making, architecture discussions, and code reviews. • Experience mentoring engineers and supporting professional development. • Excellent communication skills with both technical and non-technical stakeholders. • Understanding of security, resilience, operational risk, and software quality within regulated or mission-critical environments. • Ability to translate complex business requirements into practical technical solutions. • Strong ownership mindset with the ability to operate effectively in a fast-paced environment.
• Experience working within healthcare, compliance, learning, or other regulated industries. • Experience implementing AI solutions in regulated or customer-facing environments. • Knowledge of responsible AI practices and governance considerations. • Experience supporting large-scale SaaS platforms. • Exposure to advanced observability, platform engineering, or infrastructure practices. • Experience improving engineering culture, processes, and software delivery standards. • Involvement in hiring, onboarding, or building engineering teams. • Passion for emerging AI technologies and their practical application in software development.
• Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter) • No Weekend Work: Real work-life balance, not just words • Day 1 Benefits: Laptop and full medical insurance provided • Support That Matters: Mentorship, community, and forums where ideas are shared • True Belonging: A long-term career where your contributions are valued
Tech stack
LLM
About Smart Working Solutions
Smart Working Solutions is hiring for the lead software engineer (full stack & ai) (remote, full-time) [as251] role. NewJob aggregates active openings directly from Smart Working Solutions's applicant tracking system, so this listing is current.
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