Senior AI Engineer, Fintech · Remote

Findjobit

United States

Remote

USD 150,000 - 210,000

Full time

43 hours ago
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Job summary

Niuro in the US fintech sector is seeking a Senior AI Engineer to design, build and operate AI systems that automate underwriting and related workflows. You will own end-to-end systems from design through production, monitor performance and drive improvements while balancing risk and cost.

Candidates should write clean Python and SQL, work with LLMs and structured outputs, and deploy on clouds such as BigQuery, Azure or Databricks.

Qualifications

  • Production software built, deployed and operated using Python and SQL.
  • Hands-on LLM work with structured outputs, tools and evaluation.
  • Cloud data platforms such as BigQuery, Azure or Databricks.

Responsibilities

  • Own each AI system through design, build, deployment, monitoring and improvement.
  • Turn messy financial data into structured data people can trust.
  • Automate underwriting, collections and support workflows with appropriate human oversight.
  • Decide what a model does and what plain code does, keeping systems simple.
  • Measure business impact and work with underwriters to study failures.

Skills

Python
SQL
LLM
Data pipelines

Tools

BigQuery
Azure
Databricks

Job description

Niuro is hiring a Senior AI Engineer for a US fintech that funds small businesses. Its decisions run on financial data and documents, such as bank transactions, so an error costs real money. You will build AI systems that automate this work, prove they work and operate them in production.

You will:
  • Own each system through design, build, deployment, monitoring and improvement.

  • Turn messy financial data and documents into structured data people can trust.

  • Automate underwriting, collections and support workflows, keeping human judgment where it matters.

  • Decide what a model does and what plain code does, and keep systems as simple as possible.

  • Measure business impact, study every failure and work directly with underwriters.

You bring:
  • Production software built, deployed and operated, mostly in Python and SQL. You still code every week.

  • Hands-on LLM work with structured outputs, tool use, evaluation and cost control.

  • AI systems used by real users, with evidence that they worked.

  • Cloud data platforms such as BigQuery, Azure or Databricks.

  • Clear Spanish and English, written and spoken.

Nice to have:

OCR and document processing, retrieval, entity extraction, bank transactions or open banking data.

Remote from Latin America, full-time contractor.

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