Software Engineer (AI)

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

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About this role

Software Engineer (AI) New York (hybrid) | Hybrid | Remote 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

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