Airport Systems Development

The Full Stack Tech Lead builds and scales modern digital products across Air India. This role requires strong full-stack engineering expertise with the ability to integrate AI capabilities such as personalization, chatbots, and intelligent automation into production applications.

The focus is on taking ideas from prototype to production. The Tech Lead also defines the technical architecture, makes sure systems are scalable and reliable, and guides engineering teams while pushing innovation in AI-powered products.

Strategic Activities

• Define full-stack architecture for digital platforms with AI capabilities


• Integrate AI/ML services into customer and operational platforms


• Collaborate with AI/ML teams to embed AI features into production systems


• Ensure AI integrations follow enterprise architecture and security standards


• Balance AI feature experimentation with full-stack reliability


• Drive technical debt management and code quality initiatives


• Define development standards and best practices

Technical Execution

i.  Full Stack Development

• Build and ship core product features from prototype to production in short cycles


• Design scalable frontend systems using Angular/React/TypeScript


• Develop high-performance backend services (Java/Spring Boot and/or Python)


• Own BFF layers where required


• Integrate AI services into frontend and backend applications


• Implement AI feature UI/UX (streaming responses, loading states, error handling)


• Collaborate with AI/ML teams on prompt optimization and performance


• Monitor AI feature performance and collaborate on debugging with AI specialists

ii. Engineering Excellence

• Design real-time AI features with scalable data pipelines


• Implement strong automated testing practices


• Drive performance optimization across UI, API, and AI layers


• Ensure production stability and fast incident resolution

Team Management

• Lead and mentor full-stack and AI-focused engineers


• Foster a culture of rapid prototyping with strong engineering rigor


• Conduct architecture, design, and code reviews focused on performance, reliability, and scalability


• Drive engineering excellence in AI feature development and system integration with measurable business impact


• Guide teams in writing concise design documents outlining trade-offs and technical decisions


• Promote “mentor by code” culture — hands-on technical leadership


• Collaborate with Data Science, Product, UX, and DevOps teams


• Support hiring and capability building in AI engineering and modern full-stack practices

Any other additional responsibility could be assigned to the role holder from time to time, as a standalone project or regular work. The same would be suitably represented in the Primary responsibilities and agreed between the incumbent, reporting officer, and HR.

Minimum Education Requirements

Bachelor’s degree in computer science, Software Engineering, or related technical field OR equivalent practical experience with 10+ years in software development

Minimum Requirement

Desired

Experience

• 10+ years of full-stack software development experience


• 3+ years in technical leadership or senior engineering roles


• Proven experience with production systems at scale


• Experience with both frontend and backend technologies

• Demonstrated ability to integrate third-party services and APIs

• 10+ years in full-stack development


• Experience in airline, travel, or e-commerce industries


• Prior experience integrating AI/ML services or features


• Experience with high-traffic, mission-critical systems


• Track record of mentoring and growing engineering teams

Certifications

• Azure Solutions Architect Expert


• Azure AI Engineer Associate (AI-102) (nice to have)


• Relevant technology certifications (Java, Python, Cloud)