Product Engineer (2027 Grads.)

About LJI

Loyalty Juggernaut (LJI) is a leading B2B SaaS company redefining how enterprises drive customer engagement and loyalty. Our flagship platform, GRAVTY®, enables global brands to transform loyalty programs into measurable, revenue-generating growth engines.

Built as an AI-first, next-generation solution, GRAVTY® empowers organizations to deliver highly personalized, real-time experiences at scale—helping them increase customer lifetime value and deepen brand relationships.

Headquartered in Palo Alto, California, LJI partners with leading enterprises across 16 major industries including airlines, retail, hospitality, financial services and telecommunications powering some of the most innovative loyalty ecosystems worldwide.

Our Global Impact

• 400+ Million members connected through our platform.
• 100+ Global Brands trust us to drive loyalty and brand devotion.
• 3-Time Winner of “Best Technology Innovation in Loyalty”.
• Global recognitions for Excellence in Loyalty Management under numerous categories.
• Recognized as a ‘Strong performer’ in The Forrester Wave™ Loyalty Platforms, Q4 2025.

Explore more about us at www.lji.io.

As an intern transitioning to a full-time role, you will own the end-to-end software development lifecycle, including technical design, implementation, deployment, support, and optimization of software solutions.

You will

• Collaborate with the Business teams, Product teams and Clients to understand business scenarios and customer pain points
• Tackle complex technical challenges and build highly functional cutting-edge product features
• Own the complete product delivery across the full tech stack
• Continuously improving product performance and user experience

To be successful in this role, you should be a meritorious student from a college of repute and have,

• Bachelor's degree in CS/IT Engineering, class of 2027
• Min. 7.5 CGPA score with no backlogs
• Excellent programming skills.
• Strong academic performance in data structures and algorithms.
• Demonstratable programming and application skills in academic projects- Java/Python/Rest APIs/PostgreSQL/ AI-ML/Mobile Development/similar.
• Confident communication skills

Our Tech Stack

• Java(Springboot)
• Python(Django)
• PostgreSQL
• AI/ML
• REST, web services
• Angular, Javascript, HTML
• Jenkins, Maven, Git, Ansible
• AWS

While we encourage eligible candidates to apply, this role requires more than just theoretical knowledge. If you are limited to academic or conceptual understanding without practical application, this may not be the right fit.