Software Engineer, AI Systems

Lotusmgmt

New York (NY)

Hybrid

USD 120,000 - 170,000

Full time

14 days+

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Job summary

LOTUS is looking for a software engineer to design and build internal data tools and research systems that empower a small team with the leverage of a larger one. You will turn unstructured information into a competitive edge and own critical components end to end.

You will design data pipelines, research tooling, and AI systems used daily by the investment team. This role demands shipping quality software with strong collaboration and rapid iteration in a data‑driven environment.

Qualifications

  • 3+ years building production software, ideally with data‑intensive systems.
  • Fluency in a modern backend language and comfort across the full stack.
  • Hands‑on experience with LLMs or applied machine learning is a strong plus.
  • A bias toward shipping and a high bar for quality.

Responsibilities

  • Design, build and operate data pipelines and internal research applications.
  • Integrate large language models and AI systems into practical investing workflows.
  • Partner directly with the investment team to translate needs into tools.
  • Own systems end to end, from prototype through production reliability.

Skills

Backend development
Full stack
LLMs/ML experience
Quality focused

Job description

Build the internal tools and data systems that let a small team invest with the leverage of a much larger one.

About the role

Engineering is core to how LOTUS operates. You will design and build the data pipelines, research tooling and AI systems our investment team relies on every day — turning unstructured information into an edge. This is a high-ownership role with a direct line to the people using what you build.

What you'll do
  • Design, build and operate data pipelines and internal research applications.
  • Integrate large language models and AI systems into practical investing workflows.
  • Partner directly with the investment team to translate needs into tools.
  • Own systems end to end, from prototype through production reliability.
What we're looking for
  • 3+ years building production software, ideally with data‑intensive systems.
  • Fluency in a modern backend language and comfort across the full stack.
  • Hands‑on experience with LLMs or applied machine learning is a strong plus.
  • A bias toward shipping and a high bar for quality.
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