Artificial Intelligence Engineer

About Loyalty Juggernaut (LJI)

Loyalty Juggernaut (LJI) is a pioneer in cloud-native loyalty and customer engagement. We are THE JUGGERNAUTS, driving innovation and impact in the loyalty ecosystem. Our GRAVTY® platform is the world's first autonomous loyalty solution, built for the next generation of digital-first enterprises.

Designed for limitless scalability and hyper-personalization, GRAVTY® delivers cutting-edge, AI-driven loyalty solutions that transform customer engagement across diverse industries, including Airlines, Airports, Retail, Hospitality, Banking, Telecom, and Insurance.

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 part of our continued growth, we are expanding our AI Engineering Team to build and scale AI-driven product capabilities that power intelligent engagement across our platform.

We are seeking highly skilled and motivated Senior Product Engineers – AI to join our AI engineering group in Hyderabad.

These roles will focus on developing, deploying, and optimizing machine learning and generative AI solutions that integrate directly into our core product ecosystem. The ideal candidates are problem-solvers with strong technical depth in Python, data analysis, and machine learning — complemented by excellent communication skills and the ability to collaborate effectively across cross-functional teams.

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.