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Software Engineer, Stripe Assistant
role at
Stripe .
About Stripe 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.
About the Team 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.
What you’ll do 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.
Responsibilities
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.
Minimum Requirements
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.
Preferred Qualifications
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.
In‑Office Expectations Office‑assigned Stripe members in most locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripe members in our Bucharest, Romania site have an 80% in‑office expectation, and those in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office. Also, some teams have greater in‑office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in‑person collaboration and learning from each other, while supporting flexibility when possible.
Pay & Benefits The annual US base salary range for this role is $187,500 - $281,300. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Engineering and Information Technology
Industries Software Development, Financial Services, and Technology, Information and Internet
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Software Engineer, Stripe Assistant
role at
Stripe .
About Stripe 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.
About the Team 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.
What you’ll do 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.
Responsibilities
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.
Minimum Requirements
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.
Preferred Qualifications
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.
In‑Office Expectations Office‑assigned Stripe members in most locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripe members in our Bucharest, Romania site have an 80% in‑office expectation, and those in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office. Also, some teams have greater in‑office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in‑person collaboration and learning from each other, while supporting flexibility when possible.
Pay & Benefits The annual US base salary range for this role is $187,500 - $281,300. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Engineering and Information Technology
Industries Software Development, Financial Services, and Technology, Information and Internet
#J-18808-Ljbffr