$ cat jobs/software-engineer-ai-numeral-315803a04245.json
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 70+ 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 3,000 paying customers and have more than tripled our revenue every year in our history. 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 st
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