Job Description

Responsibilities

Design, develop, and maintain scalable web applications using modern front-end and back-end frameworks. Build RESTful APIs and integrate with external services, databases, and cloud platforms. Implement responsive, user-friendly interfaces with strong focus on performance and accessibility. Collaborate with data scientists and ML engineers to integrate AI/ML models into production applications. Optimize AI pipelines for real-time inference, scalability, and cost-efficiency. Develop APIs and microservices for deploying AI/ML models (e.g., NLP, computer vision, recommendation engines). Ensure application security, performance tuning, and code quality through testing and reviews. Stay updated with emerging technologies in full stack and AI to recommend adoption where appropriate.

Requirements

Bachelor's degree in Computer Science, Software Engineering, or related field. 3-6 years of experience in full stack development. Proficiency in

front-end frameworks (React, Angular, or Vue.js) and back-end development (Node.js, Python, Java, or .NET).

Strong knowledge of databases (SQL/NoSQL) and cloud platforms (AWS, Azure, or GCP). Hands-on experience with

AI/ML framework

s such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Experience deploying AI models into production (via APIs, containers, or serverless platforms).

Familiarity with CI/CD pipelines, Docker, Kubernetes, and version control (Git).

Strong problem-solving skills, analytical thinking, and ability to work cross-functionally with product, data, and engineering teams. Understanding of prompt engineering and fine-tuning large language models. * Knowledge of data engineering workflows for preparing and processing training data.