About the Role:

We are building AI-driven SaaS solutions for enterprise finance, focused on automating complex back-office business processes across corporate finance using AI/ML and advanced language models. As a Lead Full Stack Developer, you will drive the design and development of scalable, intelligent applications across the stack, with a strong focus on building AI-powered and agentic workflows that deliver real-time insights, streamline financial operations, and reduce manual effort for global finance teams.

Key Responsibilities:

- AI / Agentic Application Development: Design and build AI-powered features and agentic workflows using LLMs, NLP, and modern AI frameworks. Integrate AI capabilities into core product flows, including orchestration, prompt design, and response handling.

- Module Ownership & Technical Design: Own the design and delivery of key modules, making architectural and design decisions aligned with overall system goals.

- Full Stack Development: Design, develop, and maintain end-to-end features across backend (Node.js) and frontend (React.js/TypeScript), ensuring performance, scalability, and reliability.

- Backend Systems: Build and scale microservices, APIs, and distributed systems in a cloud-native environment.

- Frontend Development: Drive development of responsive, high-quality user interfaces with a strong focus on performance and usability.

- Technical Leadership: Guide junior engineers through code reviews, design discussions, and engineering best practices while remaining hands-on.

- Cloud & DevOps: Work with AWS services, containerized environments (Docker/Kubernetes), and monitoring tools to ensure reliable production systems.

- Collaboration: Partner with Product, Design, and AI/ML teams to translate business requirements into scalable technical solutions.

- Engineering Excellence: Champion code quality, testing (unit/integration), and CI/CD practices across the team.

Qualifications:

- 10+ years of hands-on experience in full stack development

- Strong proficiency in Node.js and React.js

- Hands-on experience building AI/ML or GenAI-based applications (LLMs, agentic workflows, NLP use cases)

- Proven experience owning modules/features end-to-end in production systems

- Solid experience in system design and building scalable microservices

- Experience building and scaling cloud-native SaaS applications

- Strong understanding of RESTful APIs, distributed systems, and data modeling (RDBMS/NoSQL)

- Experience with AWS services and production environments

- Exposure to CI/CD, containerization (Docker/Kubernetes)

- Ability to drive technical decisions and mentor junior engineers

- Strong problem-solving skills and ability to work in fast-paced environments

Good to Have:

- Experience with advanced agentic frameworks, orchestration layers, or prompt engineering at scale

- Experience with multi-tenant SaaS architectures

- Experience with enterprise integrations (SSO, email, etc.)

- Background in FinTech domain