We are seeking a Senior Full Stack Engineer for an AI Enabled Enterprise Solutions Platform

Job Profile :

- Full Stack Development : Design, develop, and maintain robust web applications, ensuring seamless integration between frontend and backend components.

- AI & LLM Integration : Integrate large language models and AI agents into applications to enhance functionality, automation, and user experience.

- API Development : Build and maintain efficient RESTful APIs and/or GraphQL endpoints for AI-powered features and services.

- Database Management : Design and manage both relational and NoSQL databases to support AI-driven data workflows.

- Collaboration : Work closely with frontend developers, data scientists, and other stakeholders to deliver innovative, AI-centric solutions.

- Code Review & Testing : Conduct code reviews, write unit and integration tests, and ensure code quality and performance.

- Mentorship : Mentor junior engineers and share knowledge on AI integration, best practices, and modern development tools.

- Continuous Improvement : Stay updated with emerging AI technologies, frameworks, and industry trends, and drive the adoption of best practices.

Requirements :

- 5+ years of experience in full stack web development

- Proficiency in frontend frameworks such as React JS

- Strong backend development experience with Node.js, Python

- Hands-on experience integrating large language models (e.g., GPT-3, BERT) or similar AI technologies

- Experience with RESTful APIs, GraphQL, and microservices architecture

- Solid understanding of relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB)

- Familiarity with cloud platforms (AWS, Azure, or GCP) and DevOps practices

- Experience with version control systems (e.g., Git) and CI/CD pipelines

- Excellent problem-solving and analytical skills

- Strong communication and collaboration abilities

- Ability to work independently and manage multiple priorities in a fast-paced environment

Preferred Qualifications :

- Experience with containerization technologies like Docker and Kubernetes

- Knowledge of security best practices for web and AI applications

- Familiarity with automated testing frameworks and tools

- Understanding of prompt engineering and multi-agent orchestration