Product Engineer (AI)

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.

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.
• Recognised as a ‘Strong performer’ in The Forrester Wave™ Loyalty Platforms, Q4 2025.

Explore more about us at www.lji.io

Key Responsibilities:

• Design, develop, and deploy AI-driven product features using ML, NLP, or GenAI technologies.
• Work closely with product managers, data scientists, and platform engineers to deliver scalable AI solutions.
• Build and maintain end-to-end ML pipelines — from data preparation and model training to deployment and monitoring.
• Analyze data and experiment with techniques to improve model accuracy, performance, and business impact.
• Integrate models into production microservices and APIs.
• Follow best practices in software development, version control, CI/CD, and testing.
• Document solutions, share knowledge, and contribute to technical reviews.
• Stay current with advancements in AI frameworks and modern engineering practices.

You would make a GREAT FIT if you have :

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• 3 to 5 years of experience.
• Problem-Solving: Strong analytical and problem-solving skills; ability to think through complex scenarios and propose effective solutions.
• Programming: Proficiency in Python with experience using data and ML libraries (NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch).
• Machine Learning: Hands-on experience in building, evaluating, and deploying ML models.
• Data Analysis: Strong data manipulation and insight extraction skills using Python and analytical tools.
• Communication: Exceptional written and verbal communication skills — must be able to document, present, and discuss technical topics clearly with both technical and non-technical stakeholders.

Key Attributes

• Ownership mindset with high accountability.
• Passion for AI innovation and continuous learning.
• Strong collaboration and teamwork orientation.
• Ability to balance technical depth with product-level thinking.