KUBRA

AI Engineer

KUBRA

full-time

Posted on:

Location Type: Hybrid

Location: Tempe • Arizona • United States

Visit company website

Explore more

✨ AI Apply
Apply

Tech Stack

AWSCloudPythonSQL

About the role

  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data-to-AI pipelinesfeature engineeringmodel trainingmodel deploymentmodel evaluationPythonSQLLLM-based systemsCI/CDcontainerization
Soft Skills
collaborationstrategic thinkingdata-driven decision makingproblem solvingcommunication