Full Stack Developer - Frontend & Backend Technologies (13-20 yrs)

Urgent requirement for Full Stack Developer for Bangalore Location.

Experience- 12-20 Yrs

Job Location- Bangalore

Job Description :

Full Stack Development :

- Design, develop, and maintain scalable web applications and platforms that incorporate AI models and services.

- Work on both frontend and backend components, ensuring that AI models are effectively integrated into the application stack.

- Build and optimize user interfaces using modern frontend frameworks such as React.js, Angular, or Vue.js.

- Develop robust backend systems using Node.js, Python, or similar technologies, with a focus on API development and data management.

AI Integration :

- Collaborate with data scientists and AI engineers to integrate AI/ML models into web applications, ensuring smooth deployment and operation.

- Implement AI-driven features, such as personalized recommendations, predictive analytics, and NLP-based search functionalities, within the application.

- Utilize cloud-based AI services (i.e., Azure AI, AWS SageMaker) to deploy and manage AI models within the application infrastructure.

End-to-End Solution Building :

- Lead the development of AI use cases, from concept through to deployment, ensuring that the full-stack solutions are aligned with business objectives.

- Develop and maintain microservices and APIs that facilitate the integration of AI models with frontend applications.

- Implement data processing and transformation pipelines to support AI model training and inference within the application.

Collaboration and Cross-Functional Work :

- Work closely with AI Labs teams, including data scientists, AI engineers, and UX designers, to translate AI concepts into functional applications.

- Engage with stakeholders across company member firms to understand their requirements and deliver tailored AI solutions.

- Participate in code reviews, provide technical guidance, and mentor junior developers within the team.

Performance Optimization and Security :

- Optimize the performance of AI-driven web applications, ensuring fast load times, scalability, and efficient resource usage.

- Implement security best practices to protect data, including encryption, secure authentication, and compliance with data protection regulations.

- Continuously monitor and improve application performance, implementing updates and patches as needed.

DevOps and Continuous Integration :

- Implement CI/CD pipelines to automate the testing, deployment, and scaling of AI-powered web applications.

- Use containerization (Docker, Kubernetes) to manage and deploy AI applications across multiple environments.

- Ensure that the deployment processes are streamlined and that the AI applications can scale to meet demand.

Research and Innovation :

- Stay updated with latest advancements in AI, web development, and cloud computing, applying new techniques to improve application functionality.

- Experiment with new technologies and frameworks to enhance the capabilities and performance of AI-driven applications.

- Contribute to the development of best practices and technical standards within the AI Labs.

Qualifications :

Educational qualifications :

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

- Certifications in AI/ML, web development, or cloud computing are advantageous.

Work experience :

- 10+ years of experience in full-stack development, with a strong focus on AI.

- Proven experience in developing and deploying web applications that integrate AI models and services.

- Hands-on experience with frontend frameworks (React.js, Angular, Vue.js) and backend technologies (Node.js, Python).

- Experience working in AI Labs or similar environments, with a focus on building AI-driven solutions.

Skills :

- Proficiency in both frontend and backend development, with a strong understanding of web architecture and design principles.

- Strong knowledge of AI/ML frameworks and libraries, and experience integrating AI models into full-stack applications.

- Expertise in cloud platforms (i.e., Azure, AWS) and experience deploying AI models using cloud services.

- Familiarity with DevOps practices, including CI/CD pipelines, containerization, and automated deployment processes.

- Excellent problem-solving skills and the ability to work independently and as part of a cross-functional team.

- Strong communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders