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 solid 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.

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, Current 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)

📌 Airport Systems - Tech Lead (Gurugram)
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