Neo.Tax | Senior Full-Stack Engineer & Senior Data Scientist/ML Engineer | REMOTE (US, Pacific hours) | Full-time | $190

Neo.Tax automates R&D tax credits and software cost capitalization for enterprises using ML/LLMs to process data from various systems. They are hiring senior engineers for full-stack and data science/ML roles. The company has significant revenue and well-known customers like Mercury, Brex, Notion, Adobe, and Capital One.

How you'd build it

1. 1Research R&D tax credit regulations for a specific target market (e.g., Canada/Ontario) to understand data requirements and calculation logic.
2. 2Develop a prototype data ingestion pipeline using Next.js API routes (Node.js/TypeScript) to accept structured data (e.g., CSV, JSON) from common financial/project management systems.
3. 3Implement a basic ML/LLM classification model (using Gemini/AI SDK) to identify eligible R&D activities or expenses from free-text descriptions.
4. 4Build a user-facing dashboard with React and Tailwind to allow SMBs to upload data, view preliminary credit calculations, and review classified items.
5. 5Integrate a secure authentication system and a payment gateway for credit report generation or subscription access.
6. 6Develop a reporting module that generates a simplified, compliant R&D tax credit report for the chosen target market.

Risks & moats

• Regulatory complexity: Tax laws are highly nuanced, location-specific, and frequently change, requiring deep domain expertise and constant updates.
• Data integration: Ingesting and normalizing data from 'wildly different company types' and systems is a massive, ongoing engineering challenge.
• Accuracy and liability: Errors in tax calculations can lead to significant financial penalties and legal risks for users, requiring robust validation and auditing.
• Enterprise sales: Selling to large enterprises like Adobe and Capital One requires established trust, compliance, and sales infrastructure not typically available to a solo operator.

United States→Canada

Rebuild a localized version of Neo.Tax for Canadian R&D tax credits (SR&ED program), focusing on SMBs with simpler data structures, as SR&ED is a significant driver for many Canadian tech companies.

Original context

Neo.Tax | Senior Full-Stack Engineer & Senior Data Scientist/ML Engineer | REMOTE (US, Pacific hours) | Full-time | $190K–$210K + equity Neo.Tax automates R&D tax credits and software cost capitalization for enterprises. We ingest data from project management, payroll, identity, and financial systems and use ML/LLMs to turn a process that used to take months into one that takes hours. Small team, real revenue, lots of hard problems in data extraction and pipelines at scale. Currently serving customers like Mercury, Brex, Notion, Adobe, and Capital One. We're hiring two senior roles: 1) Senior Full-Stack Software Engineer (7+ yrs) TypeScript/Node + React on the front of the house; data ingestion pipelines processing millions of records and flexible schemas across wildly different company types on the back. You'll own projects end-to-end, scope with cross-functional partners, and ship both customer-facing and internal tooling. Bonus: GraphQL, GCP/AWS/Azure, Terraform/DevOps. 2) Senior Data Scientist + ML Engineer (6+ yrs) Own ML/AI problems from definition through production: classification, information extraction, entity resolution, ranking, anomaly detection, plus LLM systems (prom

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