About the job
Job Purpose
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.
Key Accountabilities 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 Key Responsibilities and agreed between the incumbent, reporting officer, and HR.
Skills Required for the Role
a. Technical Skills i. Backend Strong expertise in Java (17+) with Spring Boot 3.x OR strong expertise in Python (3.9+) with FastAPI/Flask RESTful API design and microservices architecture Event-driven systems (Kafka, RabbitMQ, or similar) Database design: PostgreSQL, MongoDB, Redis API security: OAuth2, JWT, API gateways Performance optimization and caching strategies Unit testing, integration testing (JUnit, Pytest, etc.) ii. Frontend Proven experience with Angular OR React with TypeScript Modern JavaScript/TypeScript (ES6+) State management (Redux, NgRx, Context API) Responsive design and CSS frameworks (Tailwind, Material UI) Frontend build tools (Webpack, Vite) Performance optimization techniques Testing frameworks (Jest, Cypress, Playwright) iii. AI Enablement
Experience integrating AI/ML APIs into applications
Familiarity with LLM service consumption (OpenAI, Azure OpenAI, AWS Bedrock) Understanding of prompt engineering basics Awareness of AI UX patterns (streaming, loading, errors, feedback)
Knowledge of AI costs and latency considerations
Ability to collaborate with data science/ML teams Understanding of when to use AI vs traditional approaches iv. Architecture & Cloud Cloud-native design patterns (AWS, Azure, or GCP) Microservices and BFF architectures Containerization (Docker) and orchestration basics (Kubernetes) CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI) Observability: logging, metrics, tracing (Datadog, New Relic, ELK) Scalable distributed system design Infrastructure as Code (Terraform, CloudFormation) awareness b. Core Engineering Competencies Strong computer science fundamentals (algorithms, data structures) 8+ years full-stack development experience Proven track record in shipping production systems end-to-end
Experience with high-scale, real-time systems
Strong debugging and troubleshooting skills Translating business Requirements into technical solutions Performance optimization across the stack c. Behavioural & Leadership Skills Technical leadership and team mentorship Clear communication of technical decisions and trade-offs Design documentation (RFCs, architecture diagrams) Ownership and accountability mindset Comfortable with ambiguity and rapid iteration Cross-functional collaboration (Product, UX, DevOps, Data Science) Ability to move from prototype to production-grade solutions Hiring and team capability building
Educational and Experience Requirements
Minimum Education Requirements Bachelor's degree in computer science, Software Engineering, or related technical field OR equivalent practical experience with 7+ years in software development Minimum Requirement Desired
Experience
7+ 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)