About The Role

Join our team as a Staff Software Engineer (AI Platform) where you will lead a cross-functional engineering team, actively participate in software delivery, and focus on engineering execution, technical mentorship, and modernization initiatives. You will have the opportunity to work across product, platform, and engineering initiatives that directly influence customer experience and business outcomes.

Lead technical execution for an agile engineering team, remaining actively involved in architecture and hands-on coding.
Mentor engineers and improve delivery practices, providing day-to-day technical leadership and coordination for the team.
Partner with Product and QA on roadmap execution, improving operational reliability and engineering standards.
3+ years of hands-on experience designing or building systems that integrate large language models or other ML models into production software
Demonstrated experience building shared platform services or internal developer platforms, not just application-level features
Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience
Experience designing systems in regulated industries where data handling, audit trails, and compliance constraints shape technical decisions
Strong understanding of retrieval-augmented generation architectures, vector search, and embedding pipeline design
Active daily use of AI-assisted development tools
Proficiency with cloud-managed AI services (AWS Bedrock, Azure OpenAI, or equivalent) and the operational characteristics of running AI workloads in production
8+ years of professional software engineering experience, with demonstrated technical leadership across multiple teams or product areas
Proven ability to make and defend architecture decisions at scale
Experience in fintech, banking, or other regulated financial services environments
Experience with prompt management, versioning, and experimentation at scale
Prior work on developer-facing platforms with a focus on adoption and internal developer experience
Familiarity with AI evaluation frameworks and techniques for measuring output quality and detecting model degradation

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