Staff Software Engineer, Mailchimp AI Solutions

Mailchimp 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!

Work 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 them We'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 product Design, build, and operate the services, APIs, and infrastructure that power LLM-based features and autonomous agents at scale Partner 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 on Design, 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 services Build and evolve the data and evaluation foundations — training/eval pipelines, feedback loops, guardrails, and observability — that keep AI features accurate, safe, and performant at scale Empower team members by providing technical guidance and mentorship on both software engineering and applied AI practices Embrace and demonstrate our values: humility, creativity, and independence Qualifications You have experience designing, building, or shipping AI/ML-powered products, including LLM-based features, RAG systems, or autonomous/agentic workflows You have experience driving cross-functional projects and communicating technical concepts — including AI/ML tradeoffs — to both engineering and non-technical teams You have experience with distributed systems, including load management, monitoring, and resiliency, ideally as applied to AI inference or agent workloads You have experience with evaluation, guardrails, or responsible AI practices for generative or agentic systems You have worked with large-scale data — building or operating data pipelines, event streaming, or high-volume data stores — that feed ML/AI systems Coding experience in Python, Java, Kotlin, Go, or other languages that can be demonstrated through a portfolio of code Familiarity 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