AI Engineer
Kobie
AI Engineer
Kobie
Delivers end-to-end loyalty strategy and tech
About the team and what we’ll build together
Kobie runs some of the largest loyalty programs in the world. We're building an internal agent platform on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in Snowflake, and gives our teams and clients an LLM-native way to work with complex loyalty logic.
We're looking for a hands-on AI Engineer to ship on that platform: building agent harnesses, writing the tools those agents call, and owning the reliability and evaluation of what goes to production. This is not a research role. You'll prototype, ship, monitor, and iterate on features used by real teams
Our team tends to be people who reason carefully, ship working code,and pick up new tools without a lot of handholding. There’s no single path into this role. We value the impact of what you’ve built and your track record of building things that hold up.
How you will make an impact
Agent Development
Evaluation and Reliability
Collaboration
What you need to be successful
Required
A bachelor's degree is not required. Equivalent practical experience: including bootcamps, self-taught work, career changes, or non-CS technical degrees counts.
Strongly Preferred
Kobie provides end-to-end loyalty solutions for leading brands. It combines strategy with technology to design, launch, and manage loyalty programs that enhance customer experiences. The product works by using a strategy-led, technology-enabled approach to uncover what truly drives consumer behavior and then applying data-driven insights to engage customers through rewards, communications, and program governance. Kobie differentiates itself through its long track record (34+ years), its status as a leader in loyalty services and technology (as recognized by Forrester), and its focus on emotional drivers behind customer loyalty, not just transactions. It aims to grow enterprise value for brands by strengthening loyalty and customer relationships across the entire program lifecycle.
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