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1 день назад

Founding Software Engineer (AI)

200 000 - 250 000$
Формат работы
remote (только USA)/onsite
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Founding Software Engineer (Python/Applied AI): Building a production-grade platform that turns investment questions into auditable AI-driven research workflows with an accent on agent orchestration, safe code execution, evaluation, and traceability. Focus on diagnosing failures across reasoning and tool use, building data infrastructure, and making financial research systems more reliable over time.

Location: United States; conditions include onsite roles in San Francisco and remote work associated with a Houston headquarters

Salary: $200,000–$250,000 with equity

Company

hirify.global is an early-stage applied-AI company building an AI research analyst and an AI-native investor for financial markets.

What you will do

  • Build a production-grade Python platform for AI-driven investment research.
  • Design agents that decompose complex investment questions into effective research tasks.
  • Develop systems for generating and safely executing auditable data-science code.
  • Evaluate reasoning quality, reliability, and usefulness while improving output quality.
  • Build traceability, provenance, backend services, and supporting data infrastructure.
  • Diagnose failures across decomposition, reasoning, tool use, and code execution, and shape the system architecture.

Requirements

  • Exceptional Python engineering ability.
  • Experience building substantial applied-AI, research-engineering, or backend systems.
  • Evidence of taking ambiguous projects from concept to production.
  • Strong judgment across software architecture, data systems, and product quality.
  • Ability to investigate complex AI-system failures and iterate through measurement and experimentation.
  • Interest in AI systems, financial research, or machine-assisted decision-making.

Nice to have

  • Experience with LLM agents, orchestration frameworks, or tool-using systems.
  • Model evaluation and quality-measurement infrastructure.
  • Secure or sandboxed code execution.
  • Data-science or quantitative-research workflows and financial data platforms.
  • Observability, provenance, or auditability.

Culture & Benefits

  • Join at a very early stage and help shape the intelligence system and the company.
  • Broad ownership across applied AI, data science, and financial markets.
  • Direct access to founders.
  • Opportunity to solve difficult technical problems across the full system.
  • Equity included with compensation.

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