Senior Software Development Engineer, Selling Partner Financial Technology

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 were not stopping there. Were on a mission to transform financial workflows through Agentic AI building intelligent systems that dont 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 were building. And we need you to help us get there.

What Were 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 builders 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.

- 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
- Bachelors degree in computer science or equivalent

- Experience with Machine Learning and Large Language Model fundamentals including architecture training/inference lifecycles and optimization of model execution

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