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hirist

Lead Full Stack Developer - AI/Agentic Application Development

Futures and Careers
10 - 15 Years
Hyderabad

Posted on: 01/07/2026

Job Description

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, and 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 and 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 and 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 and exposure to CI/CD, containerization (Docker/Kubernetes).

- Ability to drive technical decisions and mentor junior engineers and 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.

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