KUBRA
AI Engineer
Tempe, AZ
Sponsorship not specifiedDetected 107 days ago
PythonSQLAWSCI/CDMachine LearningData EngineeringData ScienceLLMsRAGA/B TestingCommunicationProblem SolvingOrganizational Skills
About the role
- This role spans applied AI (including generative AI and LLM-based systems), production-grade machine learning engineering, data science and advanced analytics.
- This is a hybrid opportunity in Tempe, AZ.
- Why You'll Love Working Here - Thrive in an award-winning, innovation-driven culture that champions growth, embraces diversity, and fosters inclusion for all.
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.
- 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.
- Ability to collaborate effectively across Product, Engineering, BI, and Data teams.
- Strong organizational skills and ability to manage multiple priorities in a fast-paced environment.
- Proactive, ownership-oriented mindset with the ability to work independently and drive solutions from concept to production.
- Minimum of 3-5 years of designing, building, and operationalizing end-to-end data and AI systems in production environments
Skills
- 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
- Strong software engineering fundamentals, including experience with CI/CD, testing practices, and containerization concepts.
- 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
Compensation
- Earn competitive pay with annual performance-based bonuses that recognize your impact
Benefits
- Establish and enforce AI and machine learning and data operational standards, governance, and best practices across the organization.
- Sound knowledge of machine learning lifecycle from data gathering and data preparation to feature engineering to model deployment, monitoring and iteration.
- Prioritize your mental health with a free premium Headspace membership
- Stay active with our on-site fitness center
Visa & Work Authorization
- KUBRA does not typically provide immigration-related assistance, including employment-based work visa (e.g. H-1B) sponsorship, work permit applications and extensions, permanent residence (green card) sponsorship, LMIA applications or perma
This listing is sourced directly from KUBRA's careers page and normalized into a canonical job model.