Artificial Intelligence Engineer

Loyalty Juggernaut Inc. (LJI) is a global leader in enterprise loyalty and engagement technology. Our cloud-native platform enables enterprises to design, deploy, and manage next-generation customer experiences by combining AI, analytics, and scalable cloud architectures.

Our Impact:

• 400+ million members connected through our platform.
• Trusted by 100+ global brands/partners, driving loyalty and brand devotion worldwide.

Proud to be a Three-Time Champion for Best Technology Innovation in Loyalty!!

Explore more about us at www.lji.io.

AI Engineering Team

Senior Product Engineers – AI

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.

Core Requirements

• 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.

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.