USASenior Software Engineer - Customer Interfaces
3 нед. назад
USASenior
fullstackai integrationstreamingcomponent libraries
Senior Full Stack Engineer to lead evolution of customer interfaces with AI-integrated frameworks at .
Обязанности
- As a Senior Full Stack Engineer for Customer Interfaces in San Francisco, you will lead the evolution of ’s experience platform, building the foundational frameworks, AI-integrated guardrails, and component libraries that empower global teams to ship secure, conversational financial experiences.
- We are looking for a product-minded engineer who can build end-to-end streaming, multi-modal user interfaces while architecting backend agentic workflows (specifically Tool-use, Chains, and Policy Layers). In this role, AI is not a standalone job title or a hypothetical sandbox; it is an integrated engineering capability used to transform natural language inputs into authenticated, secure financial operations.
Требования
- Full-Stack Technical Depth: Deeply proficient in Java for high-concurrency backend services, with architectural competence to integrate and support Agentic workflows (Python). Experienced with Vue/Preact for complex, stateful web applications.
- Applied AI Systems & Safety: Hands-on experience (or strong architectural competence) with production-grade Agentic AI integrations, including policy layers, evaluation frameworks, RAG architectures, and deterministic execution boundaries.
- Security-First Mindset: A "security-by-design" approach to handling sensitive financial data, user authorization, and zero-trust access in web environments.
- High Ownership & Influence: Comfortable driving cross-team technical alignment, mentoring engineers, conducting rigorous code reviews, and collaborating with global engineering hubs.
- 7+ years of professional software engineering experience in a fast-paced technology environment.
- Currently operating as a Senior Software Engineer (or equivalent level) with a track record of taking full ownership of complex, distributed web applications.
Будет плюсом
- Experience working in monorepo environments and managing complex dependency chains across large-scale distributed systems.
- Compensation: The base salary for this role in San Francisco ranges from $198,000 - $293,000 , plus RSUs. To learn more about our compensation philosophy, please click here .
Другое
- provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At , everything we do is engineered for ambition.
- For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.
- Drive Intelligent Customer Interfaces: Lead the next generation of UIs at , building Dynamic/Agentic UI components in Vue/Preact that adapt in real time beyond static dashboards.
- Architect backend integration: Design performant Java services that orchestrate data pipelines and integrate with Agentic workflows to handle tool-use, chain execution, and state synchronization.
- Raise the Bar: Set engineering standards for the team and company. Provide mentorship through problem decomposition, research methodology, and code review. Champion reproducibility, documentation, and rigorous evaluation practices across the AI organization.
- Engineer Zero-Trust AI Guardrails: Architect the security and policy enforcement layers for Agentic workflows, maintaining strict financial data privacy and reducing hallucinated operations from touching critical backend logic.
- Partner on Product Strategy: Collaborate directly with Product Management to identify high-impact merchant workflows, translating ambiguous merchant problems into simple, high-velocity technical solutions.
- Maintain Operational Rigor: Own your code in production. Monitor live performance, minimize end-to-end streaming latency, champion security compliance, and lead root-cause analysis for live incidents.
- Engineering AI for Production: Move beyond the "sandbox". Build robust evaluation frameworks, latency-optimized streaming, and observability layers that ensure AI-driven features are reliable, secure, and ready for critical financial operations.
- Distributed Excellence: Proven track record of collaborating across global engineering hubs, effectively aligning remote teams on technical decisions, and driving documentation-first communication.
- Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at .
- Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, encourages you to reconsider and apply. We look forward to your application!
- Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here . Don’t be afraid to let us know if you need more flexibility.
- is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
- All your information will be kept confidential according to EEO guidelines.
- Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
- This role is based out of our San Francisco office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.