Minimum Qualifications
• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a
related technical field. Degrees in Mathematics, Statistics, Economics, or similar
quantitative disciplines are also welcome.
• 3 to 6 years of experience in Software Engineering, AI Engineering, Full Stack Engineering,
Data Engineering, or related fields.
• Demonstrated experience shipping production LLM applications (regardless of years).
• Financial services industry experience is a plus but not required
Nice to Have:
• Kubernetes/EKS and IaC (CloudFormation/Pulumi).
• Experience in regulated environments: auditability, PII handling, data entitlements.
• Exposure to data governance and security practices in cloud environments.
Key Behavioral Expectations
• Applies emerging AI/LLM capabilities pragmatically, with curiosity and good judgment.
• Comfortable with discovery work: prototype, test, iterate, and validate before scaling.
• Adapts quickly as requirements and technical approaches evolve.
• Owns delivery end-to-end, driving work through production and refinement.
• Communicates openly, contributes to design discussions, and challenges assumptions
constructively.
• Collaborates across teams and works across the stack when needed.