Job Summary

GradeBuzz is seeking a highly skilled and innovative Software Engineer to join our cutting-edge EdTech team. This role focuses on building intelligent, adaptive learning systems that personalize study paths for students using advanced AI and data-driven methodologies. You will play a pivotal role in designing scalable solutions that analyze learner behavior, optimize content delivery, and enhance student outcomes through personalized experiences.

Key Responsibilities

Design, develop, and maintain AI-driven adaptive learning systems.

Build and optimize algorithms for personalized study path recommendations.

Collaborate with data scientists to integrate machine learning models into production systems.

Develop scalable backend services and APIs for real-time student analytics.

Work closely with frontend teams to ensure seamless user experiences.

Analyze user data to continuously improve learning outcomes and engagement.

Ensure code quality through testing, code reviews, and best engineering practices.

Stay updated with the latest advancements in AI, EdTech, and personalization technologies.

Required Skills and Qualifications

Bachelors or Masters degree in Computer Science, Software Engineering, or a related field.

Strong proficiency in programming languages such as Python, JavaScript, or Java.

Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, or Scikit-learn).

Solid understanding of algorithms, data structures, and system design.

Experience in building RESTful APIs and microservices architecture.

Familiarity with databases (SQL/NoSQL) and cloud platforms (AWS, Azure, or GCP).

Knowledge of data analytics and recommendation systems is highly preferred.

Experience

2–5 years of experience in software development, preferably in AI-driven or data-intensive applications.

Prior experience in EdTech, adaptive learning platforms, or personalization engines is a strong advantage.

Hands-on experience deploying and scaling machine learning models in production environments.

Working Hours

Full-time position (40 hours per week).

Flexible working hours with a hybrid or remote-friendly environment.

Occasional overlap with global teams may be required.

Knowledge, Skills, and Abilities

Strong analytical and problem-solving skills.

Ability to translate complex educational needs into scalable technical solutions.

Excellent communication and teamwork abilities.

Passion for education technology and improving student learning experiences.

Ability to work in a fast-paced, agile development environment.

Continuous learning mindset with adaptability to new technologies.

Benefits

Competitive salary package with performance-based incentives.

Health insurance and wellness programs.

Flexible work environment (remote/hybrid options).

Learning and development opportunities, including AI and ML certifications.

Paid time off, holidays, and work-life balance initiatives.

Access to cutting-edge tools and technologies in EdTech.

Why Join GradeBuzz

At GradeBuzz, you will be part of a mission-driven organization transforming how students learn through AI-powered personalization. You will work on impactful projects that directly influence academic success, collaborate with a talented team of innovators, and grow your career in one of the fastest-evolving sectors. If you are passionate about combining technology and education to make a real difference, GradeBuzz is the place for you.

How to Apply

Interested candidates can apply by submitting their updated resume along with a portfolio or GitHub profile showcasing relevant projects. Please include a brief cover letter explaining your experience in AI, personalization, or EdTech systems.

Applications should be sent via the official GradeBuzz careers portal or email us with the subject line: Application – Software Engineer (Adaptive Learning AI)