Full Stack AI Engineer

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.