Full Stack Developer (AI Integration)

Responsibilities:

• Design, develop, and maintain robust full stack applications.

• Integrate AI/ML models, APIs, or platforms (e.g., OpenAI, Hugging Face, TensorFlow, AWS SageMaker, etc.) into production environments.

• Collaborate with data scientists, AI/ML engineers, and product teams to turn AI models into user-facing features.

• Build secure and scalable APIs and data pipelines to support AI features.

• Ensure performance, responsiveness, and cross-platform compatibility.

• Write clean, modular, and maintainable code following best practices and coding standards.

• Debug, optimize, and refactor existing applications.

• Participate in code reviews, architectural discussions, and sprint planning sessions.

• Stay up to date with emerging trends in full stack development and AI/ML.

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field.

• 3+ years of full stack development experience using frameworks like Node.js, Python, Java, or .NET (backend) and React.js, Angular, or Vue.js (frontend).

• Strong proficiency in JavaScript/TypeScript, HTML5, CSS3, and RESTful APIs.

• Hands-on experience integrating AI models or tools via APIs or direct model deployment.

• Familiarity with AI platforms like OpenAI, Azure Cognitive Services, Google AI, AWS AI, etc.

• Experience with databases like MongoDB, PostgreSQL, MySQL, or Firebase.

• Familiar with DevOps and CI/CD tools for deploying AI-driven applications.

• Understanding of authentication, security protocols, and performance optimization

Preferred Qualifications:

• Experience deploying or fine-tuning machine learning models.

• Understanding of Natural Language Processing (NLP) or Computer Vision.

• Familiarity with MLOps practices.

• Cloud deployment experience (AWS, Azure, GCP).

• Open-source contributions or personal AI projects