Senior Software Engineer, Stripe Assistant

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

The Stripe Assistant team is transforming how users interact with Stripe by building an intelligent and proactive assistant that not only answers users’ queries but efficiently resolves issues and provides valuable business insights. We leverage LLMs and agentic systems to elevate the user experience across Stripe—from the dashboard to support surfaces—and we enable other teams to build and integrate their AI agents on our platform. We’re evolving from a helpful support tool to a trusted pilot that anticipates, optimizes, and executes on behalf of our users.

As a Senior Software Engineer on the Stripe Assistant team, you’ll architect, build, and operate the systems that make the Assistant safe, reliable, and deeply useful. You’ll design and implement the core services that route and fulfill user requests in real time, orchestrate tools and agents, and ground responses in authoritative Stripe and user data.

You’ll help shape how the Assistant shows up in the Stripe dashboard and across surfaces—crafting APIs, backend workflows, and user-facing integrations that make complex tasks feel simple and trustworthy. You’ll partner closely with ML engineers to integrate LLM-powered capabilities, build robust evaluation and observability into the stack, and deliver step‑change improvements in quality, latency, cost, and availability.

Our team operates fluidly and here are some problems you may tackle:

• Design and operate backend services and APIs that power the Assistant’s core workflows—conversation routing, tool and agent orchestration, state management, and grounding in Stripe data.
• Integrate LLM and agentic capabilities (e.g., RAG, tool use/function calling, summarization) into production systems in a scalable, observable, and cost‑efficient way.
• Establish trustworthy, human-in-the-loop execution for high-trust “write” actions and define the permissions, safety checks, and governance model for tools and agents.
• Build the infrastructure for conversation continuity, personalization, and cross-surface memory so the Assistant can act as a persistent, context-aware partner in the dashboard and beyond.
• Develop evaluation, experimentation, and telemetry pipelines to measure answer quality, reliability, and latency—and use them to drive iterative product and system improvements.
• Elevate operational excellence and technical quality: define and meet SLOs, improve security and observability, mentor other engineers, and help shape architectural direction.
• Collaborate closely with ML engineers, product managers, designers, and other teams across Stripe to plan roadmaps, make pragmatic tradeoffs, and ship impactful features quickly and safely.

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

• 6+ years of professional software engineering experience building and operating production services.
• Strong backend or full‑stack engineering background with solid distributed systems fundamentals (e.g., concurrency, consistency, caching, data modeling, fault tolerance).
• Proficient in at least one modern programming language (e.g., Ruby, Python, TypeScript) and comfortable working across the stack when needed.
• Experience designing, implementing, and maintaining APIs and services with high reliability requirements.
• Practical experience integrating or consuming LLM-based services (e.g., RAG, embeddings, function calling, or agent frameworks) in user-facing products or internal tools.
• Experience working closely with ML engineers, product managers, and designers to translate product requirements into robust technical solutions.

• Experience shipping applied LLM or AI-powered features at scale to end users, with attention to safety, reliability, and user experience.
• Experience building or evolving platforms that multiple teams use (e.g., shared APIs, internal developer platforms, or extensibility frameworks).
• Experience working in highly ambiguous problem spaces, setting technical direction, and driving alignment across teams.

Join us to build a trustworthy, proactive AI operating layer for every Stripe merchant—advancing safety, reliability, and insight at global scale. If you’re ready to help take Stripe Assistant from copilot to full autopilot and shape how businesses connect with Stripe, we’d love to hear from you.