Full Stack Engineer

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:

Jr: 2+ Years experience in full stack web development

Manager: 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