Lead Software Engineer (Full Stack)

For more than 80 years, Kaplan has been a trailblazer in education and professional advancement. We are a global company at the intersection of education and technology, focused on collaboration, innovation, and creativity to deliver a best in class educational experience and make Kaplan a great place to work.

Our offices in India opened in Bengaluru in 2018. Since then, our team has fueled growth and innovation across the organization, impacting students worldwide. We are eager to grow and expand with skilled professionals like you who use their talent to build solutions, enable effective learning, and improve students lives.

The future of education is here and we are eager to work alongside those who want to make a positive impact and inspire change in the world around them.

As a Lead Software Engineer in AI/ML product engineering, your role focuses on overseeing team operations, setting standards, and fostering talent growth. You'll collaborate across departments to implement efficient software frameworks and design full-stack applications leveraging AI technologies. Working closely with data scientists and UX/UI designers, you'll integrate advanced AI models and ensure the development of robust APIs and responsive front-end components. Your responsibilities also include maintaining code quality through mentoring and reviews, while staying updated on emerging trends in AI, cloud services, and full-stack development to optimize application performance and availability.

Primary Responsibilities:

• Lead the software engineering team, set standards, best practices, and assist leaders in talent development within the team.
• Collaborate across the organization to implement efficient software development frameworks.
• Build and maintain Retrieval-Augmented Generation (RAG) pipelines for AI-driven applications.
• Conduct systematic evaluation of RAG components, measuring and improving RAG metrics such as retrieval accuracy, relevance, and response coherence.
• Design, develop, and maintain full-stack applications utilizing AI technologies.
• Work with data scientists, product managers, and UX/UI designers to define and launch new features.
• Integrate AI models and large language models (LLMs) from platforms like Microsoft Azure, OpenAI, Google Cloud, and AWS.
• Build and maintain RESTful APIs and microservices for AI functionalities.
• Develop front-end components using modern frameworks (React, Angular, Vue.js) to ensure responsive design and user experience.
• Write clean, maintainable, and efficient code following best practices and by leveraging Github Copilot and LLMs
• Conduct code reviews, provide feedback, and mentor junior engineers.
• Stay updated with emerging AI, cloud services, and full-stack development trends.
• Troubleshoot and resolve issues to ensure high availability and performance of AI-enabled applications.
• Hybrid Schedule: 3 days remote / 2 days in office
• 30-day notification period preferred

Minimum Qualifications:

• Master's degree in Computer Science, Engineering, or a related field; or Bachelor's degree with 2 additional years of work experience.
• 10+ years experience as a Lead Full-Stack Software Engineer with a strong portfolio of AI-enabled products (4+ year).
• Proficiency in front-end technologies such as HTML, CSS, JavaScript, and modern frameworks (React, Angular, Vue.js).
• Expertise in back-end development using languages such as Python and Node.js.
• Experience with Microservices Architecture.
• Hands-on experience with cloud services and AI APIs such as those from Microsoft Azure, OpenAI, Google Cloud, and AWS.
• Knowledge of database technologies (SQL, NoSQL), GraphQL and data modeling.
• Knowledge and experience with SSO integration
• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Excellent communication skills and the ability to articulate technical concepts to non-technical stakeholders.
• Uses AI tools and automation to boost code generation, debugging, and deployment.
• Experience with agile development and usage of tools like Jira, Confluence etc.

Preferred Qualifications:

• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
• Understanding of DevOps practices and CI/CD pipelines.
• Experience with version control systems (e.g., Git).
• Knowledge of cybersecurity best practices and data privacy regulations.