Hybrid AI Engineer

at KUBRA

• Job title: AI Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, Python, SQL
• Location requirements: Hybrid, Tempe, United States

About the role

• AI Engineer designing and maintaining scalable data-to-AI pipelines for KUBRA's customer communications solutions. Delivering AI-driven solutions that improve operational metrics across products and services.

Responsibilities

• Design and maintain scalable data-to-AI pipelines covering ingestion, transformation, feature/prompt engineering, model training, orchestration, deployment, and monitoring.
• Deliver AI-driven solutions that measurably improve key product or operational metrics (e.g., revenue uplift, cost reduction, consumer satisfaction, platform efficiency, prediction accuracy, latency reduction).
• Partner with Data and Product to identify and execute AI opportunities aligned with strategic objectives.
• Establish and enforce AI and machine learning and data operational standards, governance, and best practices across the organization.
• Deliver actionable, data-driven insights and reporting to inform business decisions and evaluate performance across products, operations, and AI systems.
• Build reliable experimentation frameworks to validate model performance and business impact and drive iterative improvements through reliable model evaluation and testing.
• Own the scalability, robustness, observability, optimization and operational excellence of production AI systems and data pipelines.

Requirements

• Minimum of 3-5 years of designing, building, and operationalizing end-to-end data and AI systems in production environments
• Sound knowledge of machine learning lifecycle from data gathering and data preparation to feature engineering to model deployment, monitoring and iteration.
• Hands-on experience with LLM-based systems (e.g., RAG architectures, prompt engineering, model evaluation, API integration).
• Strong programming skills in Python & SQL, experience writing production-quality code
• Exposure to AWS Bedrock and preferably AWS Sagemaker, Cloud based AI/ML services and modern data platforms
• Experience integrating external AI/LLM APIs and building and operationalizing application-layer AI services is desirable.
• Strong software engineering fundamentals, including experience with CI/CD, testing practices, and containerization concepts.

Benefits

• Thrive in an award-winning, innovation-driven culture that champions growth, embraces diversity, and fosters inclusion for all. See our awards →
• Earn competitive pay with annual performance-based bonuses that recognize your impact
• Invest in your future with our 401(k) plan featuring company matching
• Stay healthy with comprehensive medical, dental, and vision coverage, plus HSA and FSA options
• Recharge with paid vacation and sick days — and a paid day off for your birthday
• Make an impact with two paid volunteer days to give back to your community
• Advance your skills with free access to LinkedIn Learning and our education reimbursement program
• Prioritize your mental health with a free premium Headspace membership
• Stay active with our on-site fitness center
• Refuel at fully stocked refreshment stations with complimentary drinks and snacks
• Enjoy exclusive perks with access to “Tickets at Work” discounts and memberships