Are you passionate about working with Amazon-scale systems, solving critical engineering problems, and delivering mission-critical solutions? Does the idea of building end-to-end financial solutions that delight millions of vendors excite you? What if you could harness the power of Agentic AI to reimagine how vendors interact with their finances, automating the obvious, anticipating the complex, and delivering experiences that feel like magic?
If yes, then we want to talk with you.
Selling Partner Financial Technology (SPFT) is looking for a dynamic engineer to join our financial experiences team and help us build the next generation of Native AI Vendor Financial experiences that are intelligent, proactive, and deeply personalized.
The Opportunity
Vendors depend on us to provide accurate and transparent financial information to help them manage and grow their business. But we're not stopping there. We're on a mission to transform financial workflows through Agentic AI, building intelligent systems that don't just inform, but act on behalf of our vendors.
Imagine a world where:
- Disputes are resolved before a vendor even notices them. AI agents detect anomalies, gather evidence, and initiate resolution autonomously
- Payment reconciliation happens in real-time where intelligent agents continuously validate, flag, and correct discrepancies at scale
- Financial insights are delivered proactively. Not buried in dashboards, but these insights are surfaced exactly when and where vendors need them
- Routine financial operations are fully automated freeing vendors to focus on growing their business and not managing paperwork
This is the future we're building. And we need you to help us get there.
What We're Looking For
- Engineers with a good sense of ownership and a passion for delivering creative solutions for complex problems at unprecedented scale
- Experience building high-performance, reliable, maintainable systems and the curiosity to infuse them with AI intelligence
- Comfort with ambiguity and the ability to define the path forward in a rapidly evolving AI landscape
- A builder's mindset, someone who sees agentic AI not as a buzzword, but as a fundamental shift in how we deliver customer value
- Innovative, flexible, and self-directed individuals who thrive in fast-paced environments alongside a team of exceptionally talented engineers
Key job responsibilities As a Senior SDE, You Will
- Define the technical approach for broadly defined problems, translating ambiguous product visions into clear, scalable architectures that combine Amazon-scale reliability with AI intelligence.
- Create solutions to run AI-driven predictions and intelligent automation on distributed systems with exposure to innovative technologies at incredible scale and speed.
- Design and develop distributed systems that are scalable, fault-tolerant, low cost, and easy to manage, integrating LLM orchestration, tool-use patterns, and autonomous workflow execution at their core.
- Translate functional requirements into robust, supportable solutions that work well within the overall system architecture, with a focus on human-in-the-loop AI workflows that automate the obvious while keeping humans in control of the consequential.
- Own the full development cycle end-to-end. From system design, implementation, and testing to documentation, delivery, operational excellence, and maintenance.
- Drive engineering best practices across the team including code quality, testing standards, and operational rigor for mission-critical financial systems.
- Evaluate and make decisions around the adoption of new AI/ML frameworks, agentic tooling, and emerging technologies that accelerate our AI-native roadmap.
- Work in an agile environment to deliver high-quality software that achieves our vision of 100% financial accuracy and transparency for vendors.
- Mentor SDE I and SDE II engineers — raising the technical bar, guiding design decisions, and helping team members grow in their AI engineering capabilities.
Basic Qualifications
- 6+ years of non-internship professional software development experience
- 6+ years of programming with at least one software programming language experience
- 4+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Bachelor's degree in computer science or equivalent
Preferred Qualifications
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
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