Key Responsibilities :

- Lead the design and development of end-to-end full-stack applications with AI capabilities.

- Architect scalable and maintainable frontend and backend solutions.

- Develop responsive and high-performance user interfaces using modern frontend technologies.

- Design and develop robust backend services, APIs, and microservices.

- Integrate AI/ML and Generative AI capabilities into business applications.

- Work with LLM APIs, AI services, embeddings, RAG, and intelligent application workflows.

- Design APIs and services for seamless integration between AI components and enterprise applications.

- Lead technical design discussions, architecture reviews, and solution decisions.

- Ensure application scalability, performance, security, reliability, and maintainability.

- Conduct code reviews and establish engineering best practices.

- Identify technical risks and drive resolution of complex engineering challenges.

- Mentor and guide developers and contribute to team capability building.

- Collaborate with product managers, UI/UX teams, data engineers, AI/ML engineers, and other stakeholders.

- Drive POCs and evaluate emerging AI and software development technologies.

- Monitor production applications and troubleshoot performance and reliability issues.

- Contribute to CI/CD, DevOps, automated testing, and deployment practices.

Required Skills :

- 5 to 10 years of experience in full-stack software development.

- Strong proficiency in frontend technologies such as React.js, JavaScript/TypeScript, HTML, and CSS.

- Strong backend development experience with Python, Java, Node.js, or similar technologies.

- Strong understanding of REST APIs, microservices, databases, and distributed systems.

- Hands-on experience integrating AI/ML or Generative AI capabilities into applications.

- Knowledge of LLMs, prompt engineering, RAG, embeddings, vector databases, and AI APIs.

- Experience with cloud-native application development and deployment.

- Strong understanding of software architecture, design patterns, scalability, and application security.

- Experience with Git, CI/CD, containerization, and modern development practices.

- Strong debugging, problem-solving, communication, and technical leadership skills.

Preferred Skills :

- Experience building AI-powered enterprise applications.

- Exposure to AI agents and agentic workflows.

- Experience with Docker and Kubernetes.

- Experience with cloud platforms and serverless architectures.

- Knowledge of MLOps or AI application monitoring.

- Experience working in Agile development environments.