Software Engineer (AI)

## About Numeral Numeral is transforming how taxes get done. Digital businesses are currently bogged down by a painful web of regulations across 47 states and 50+ countries. We're eliminating this burden so teams can focus on their core mission. We're the largest and fastest growing AI-native tax solution. Started in 2023, Numeral has raised over $57M from Benchmark, Mayfield, Y-Combinator, and many others. We now serve over 2,500 paying customers and have more than tripled our revenue every year in our history. We're primarily hiring in our SF and NY offices, but do hire remotely in some cases. ## About the role We're looking for a Foundational AI Engineer who thrives in ambiguity, enjoys building real-world AI systems end-to-end, and wants to define the technical and architectural foundations of an early-stage startup. This is a hands-on role for someone who wants to design and implement LLM-powered automation systems: model orchestration, tool calling, MCP-style integrations, agentic workflows, and automation-driven tooling. ## What you'll do - Design, build, and operate production AI systems, including tool-calling agents, model orchestration layers, and RAG. - Implement and maintain AI integrations using modern frameworks, MCP servers, and external model providers. - Build and evolve scalable backend services and APIs that power automated workflows and customer-facing features. - Think in automation and workflows: design systems using tools like n8n, Claude Code-style agents, or similar orchestration approaches. - Make architectural decisions that balance latency, cost, reliability, and iteration speed. - Own infrastructure, observability, and performance for both AI and non-AI services. - Collaborate closely with product, design, and data teams to ship features that solve real customer problems. - Help define engineering best practices, AI safety/reliability norms, and our overall technical culture. ## What you'll bring - 7+ years of experience building products in high-growth environments. - 2+ years of experience building with LLMs. - Avid use of state-of-the-art AI development tools such as Cursor and Claude Code. - Fluency with backend technologies like PostgreSQL, Redis, and cloud services (AWS preferred). - Experience with frontend development, especially TypeScript and its ecosystem. - Strong product sense, balancing performance, flexibility, and speed. - Comfortable working in dynamic startup environments with evolving needs. - Excellent communication and collaboration skills. - Startup mindset: Not scared of ambiguity and hungry for rapid growth - Intensity & Ownership: This is not a 9-5 — we're scaling rapidly and hav