Senior Software Engineer (SDE 3) — Frontend

We are looking for a Senior Software Engineer (SDE 3) to design, build, and scale modern SaaS products. This role goes beyond feature delivery. You will:

shape system architecture

build intelligent product experiences

leverage AI to improve both product capabilities and developer productivity

mentor engineers and drive engineering excellence

You will work closely with product, design, data, and platform teams to deliver reliable, scalable, and intuitive solutions.

Key Responsibilities

AI-Enabled Product & System Engineering

Design and build scalable, maintainable, and high-performance systems

Own features end-to-end: design → development → deployment → monitoring

Build intelligent product features using LLMs and AI services

Develop user experiences & AI-powered workflows such as:smart automation, data extraction, conversational interfaces & copilots

summarization & insights

anomaly detection & intelligent alerts

Ensure responsible AI usage, privacy, and reliability

Collaboration & Leadership

Mentor engineers and raise the technical bar across teams

Collaborate with product managers and designers to shape solutions

Lead technical discussions and influence engineering decisions

Promote a culture of ownership, quality, and continuous improvement

Required Skills & Experience

Core Engineering

5+ years of software development experience building modern web applications

Strong expertise in React & TypeScript and component-driven architecture

Experience building and scaling production SaaS applications

Experience with design systems and UI frameworks (Ant Design, Tailwind, MUI, or similar)

Strong understanding of API integration, asynchronous data handling, and state management

Solid fundamentals in system design, performance optimization, and browser rendering

Experience improving application performance, accessibility, and responsiveness

Familiarity with frontend testing, debugging, and maintainability best practices

AI & Modern Development

Experience integrating AI/LLM APIs into production systems

Understanding of prompt design, response handling, and AI reliability patterns

Experience building AI-powered product features or workflows

Familiarity with AI-assisted developer tools and workflows

Scalability & Reliability

Experience designing high-availability and fault-tolerant systems

Observability: logging, monitoring, tracing

Performance optimization and debugging production issues

Good to Have

Experience with event-driven architectures and streaming systems

Knowledge of search, analytics, or data pipelines

Experience designing multi-tenant SaaS architectures

Security & compliance best practices for enterprise software

Experience with usage-based billing, audit trails, or compliance systems