Software Engineer (AI)

About the role

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.

- For this role we’re primarily hiring in our NY office, 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 have a massive opportunity ahead of us.