Senior Software Engineer, Stripe

• We’re looking for people with a strong background or interest in building successful products or systems
• You’re passionate about solving business problems and making impact
• You are comfortable in dealing with lots of moving pieces
• You’re comfortable learning new technologies and systems
• You are comfortable working with other Stripe teams across the US and Canada
• 6+ years of professional software engineering experience
• Strong understanding of statistical experimentation concepts (A/B testing, power analysis, confidence intervals, multiple-testing corrections)
• Proficient in at least one of the modern programming languages (e.g. Java, Ruby, Python, Typescript)
• Hands-on experience with stream or batch data processing technologies (Kafka, Flink, Spark, Trino, or equivalent)
• Demonstrated ability to partner with ML engineers, data scientists, product managers, and other engineers to translate business questions into reliable technical solutions

Desirable

• 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 user issues and provides valuable business insights
• We are leveraging LLMs and agentic systems to improve support interactions and elevate the user experience everywhere across Stripe
• We are also enabling other teams at Stripe to build and integrate their AI agents with our platform, to easily extend Stripe Assistant’s functionality across many different use cases
• As a Senior Software Engineer on the team, you'll be instrumental in architecting and developing the systems that power the Stripe Assistant
• These include the core systems that enable Stripe Assistant to respond to user queries in a real-time and context-aware manner, as well as supporting systems for evaluation, benchmarking, and coordination across dozens of AI agents and hundreds of tools
• You’ll focus on integrating novel machine learning approaches into the assistant, in a scalable, reliable and secure manner
• You’ll also be working at the intersection of AI and UI, designing and implementing novel ways for the Assistant to present rich responses to users
• Here are some problems you may tackle:
• Working through the nuances of natural language to identify user intent
• Improving the quality of our retrieval augmented generation (RAG) process
• Creating AI models that capture the expertise and experience of human agents
• Building a platform to enable easy and safe integration of many AI agents and tools
• Integrating and evaluating the quality of the latest LLMs, and eventually fine-tuning them
• Relentlessly improving the quality of our responses to users, and learning from user feedback to ship iteratively
• Leading team processes, improving operational rigor, creating product roadmaps, and spearheading technical direction
• Being a collaborative cross-functional partner