Lead Software Engineer (Full Stack & AI) (Remote, Full-Time) [AS251]

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 excellence.
• Support recruitment, onboarding, and development of engineering talent.
• Maintain clear technical documentation to support knowledge sharing and long-term maintainability.

Requirements

• 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.

Nice to Have

• 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.

Benefits

• 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