Staff Software Engineer, Mailchimp AI Solutions

Company OverviewIntuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.Job OverviewMailchimp is a leading marketing platform for small businesses. We empower millions of customers around the world to build their brands and grow their companies with a suite of marketing automation, multichannel campaign, CRM, and analytics tools. This team, is focused on building the AI and agentic systems that power Mailchimp's next generation of intelligent marketing products — from generative content and campaign optimization to autonomous agents that act on behalf of our customers. You'll work at the intersection of applied AI research and production engineering, turning models and agentic architectures into features that reach millions of small businesses, while helping define how Mailchimp adopts AI across the broader product stack, including integration with Intuit's AI platform. You will collaborate with teams throughout the company and represent our group in cross-departmental projects and forward-looking discussions with Directors and VPs. At Mailchimp, we value learning, collaboration and clarity. You'll find success here if you enjoy writing code, but you're aware that your job isn't only about shipping: you are a welcoming contributor who knows how to communicate with your team in order to build great software. You're comfortable with the pace of AI development — iterating quickly, running experiments, and translating ambiguous research into reliable production systems. You've broken production environments — and then buckled down, fixed them, and maybe you held a blameless post-mortem about it!ResponsibilitiesWork cross-functionally with AI Science, product, and platform teams to identify high-impact opportunities for AI and agentic features, and set the overall technical direction for building themWe're an AI-first team — not only do we use AI tooling to move faster in our daily work, we build the AI products and agentic solutions themselves, designing systems where LLMs and agents are the productDesign, build, and operate the services, APIs, and infrastructure that power LLM-based features and autonomous agents at scalePartner with product teams to translate AI Science research and models into customer-facing features — shaping the APIs, orchestration layers, and platform capabilities that product engineers build onDesign, plan, and lead the integration of AI/ML systems with Intuit's AI platform and Modern SaaS (MSaaS) ecosystem, adopting Intuit's Services Paved Road patterns for AI servicesBuild and evolve the data and evaluation foundations — training/eval pipelines, feedback loops, guardrails, and observability — that keep AI features accurate, safe, and performant at scaleEmpower team members by providing technical guidance and mentorship on both software engineering and applied AI practicesEmbrace and demonstrate our values: humility, creativity, and independenceQualificationsYou have experience designing, building, or shipping AI/ML-powered products, including LLM-based features, RAG systems, or autonomous/agentic workflowsYou have experience driving cross-functional projects and communicating technical concepts — including AI/ML tradeoffs — to both engineering and non-technical teamsYou have experience with distributed systems, including load management, monitoring, and resiliency, ideally as applied to AI inference or agent workloadsYou have experience with evaluation, guardrails, or responsible AI practices for generative or agentic systemsYou have worked with large-scale data — building or operating data pipelines, event streaming, or high-volume data stores — that feed ML/AI systemsCoding experience in Python, Java, Kotlin, Go, or other languages that can be demonstrated through a portfolio of codeFamiliarity with GraphQL, GCP, Kubernetes, or agent orchestration frameworks (e.g., LangChain, LangGraph) is a plus (but not required — we'll help you get there)You are a self starter that can work independently while also putting an emphasis on mentorship of those around youYou are passionate about building and delivering great AI-driven features for customers FooterIntuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.