Lead Python Engineer, Risk Tech & AI

RSM US LLP

City of Rochester (NY)

On-site

USD 85,000 - 127,000

Full time

6 days ago
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Job summary

RSM US LLP is seeking a hands-on Python Developer at the Manager level to support technology, AI, and automation initiatives in Risk Consulting. You will develop and scale Python-based solutions for credit review and risk workflows, processing large volumes of data and building ingestion and analysis pipelines.

The role emphasizes integrating AI and LLMs with OpenAI APIs, delivering structured, auditable outputs, and collaborating with stakeholders to translate requirements into scalable

Qualifications

  • Strong hands-on Python development experience.
  • Experience with AI, generative AI, LLMs, or related automation technologies.
  • Experience integrating OpenAI APIs into applications or workflows.
  • Experience building and deploying scalable AI/automation solutions in regulated environments.

Responsibilities

  • Develop, enhance, and scale Python-based applications and automation solutions for credit review and risk workflows.
  • Process large volumes of structured and unstructured data.
  • Build document ingestion, extraction, and analysis pipelines across PDFs, images, spreadsheets, etc.
  • Enhance AI/automation solutions and expand usage across lending portfolios.
  • Integrate LLMs using OpenAI APIs to support workflow automation and data processing.
  • Design outputs that are structured, auditable, and governance-friendly.
  • Collaborate with business stakeholders to identify automation opportunities and translate requirements into scalable solutions.

Job description

RSM US LLP is seeking a hands-on Python Developer at the Manager level to support technology, AI, and automation initiatives in Risk Consulting. You will develop and scale Python-based solutions for credit review and risk workflows, processing large volumes of data and building ingestion and analysis pipelines.

The role emphasizes integrating AI and LLMs with OpenAI APIs, delivering structured, auditable outputs, and collaborating with stakeholders to translate requirements into scalable

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