Builds server-side systems, APIs, data pipelines, and LLM orchestration for dynamic user acquisition tools at Stripe. Requires 5+ years backend experience, distributed systems, and LLM integration for production-grade, reliable services.
Salary not listed
Remote5+ YOEBackend Engineering
About the role
Responsibilities
Develop and implement the tooling and platforms to support interactive content tools (e.g., calculators, generators, templates) that provide utility to current and prospective businesses.
Utilize a user-first mindset to implement feedback mechanisms for continuous improvement of content and product offerings.
Design and build integrations to third-party software and create seamless workflows across these tools to unleash their full potential to the rest of Stripe.
Ensure reliability, security, and responsible AI practices across all LLM-driven features, including implementing content filtering, PII handling, rate limiting, graceful degradation, and output guardrails.
Work with a small team of technically sophisticated engineers who put users first.
Minimum Requirements
5+ years of backend development experience, with emphasis on building APIs and services that power user-facing experiences
Experience writing clear, elegant code in a team environment
Familiarity with LLM APIs and concepts — prompt engineering, token management, embedding models, retrieval-augmented generation, or function calling
Experience building and operating distributed backend systems — comfortable with service-oriented architectures, async processing, caching layers, and monitoring/alerting in production
Passion for engineering solutions focused around growth hacking & enablement
Excellent verbal and written communication
Preferred Qualifications
Proven ability to stitch different services and processes together even if you have not worked with them before
Experience in developing interactive tools and integrating them with existing systems
Experience building highly complex interactive tools, including state management and data fetching
Experience with data pipeline orchestration (Airflow, Dagster, Temporal, or similar) and structured output parsing from LLMs
Experience with prompt versioning, A/B testing model outputs, or building model gateway/routing layers that allow teams to swap or compare providers (e.g., OpenAI, Anthropic, open-source models)
Proficiency with React, with a focus on interactions, animation, performance, and polish
Experience with A/B testing, synthetic monitoring, or accessibility testing
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