Real Estate AI Engineer — Build Production-Grade AI Tools

RiseMe

New York (NY)

On-site

USD 130,000 - 200,000

Full time

3 days ago
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Benefits offered by this job

Health benefits
Bonuses
Equity eligibility

Job summary

Blackstone Real Estate seeks an Applied AI Engineer at Associate or Senior Associate level in New York, NY. You will turn a rich real estate data environment into production-quality AI tools and workflows that support faster, better investment decisions.

Responsibilities include partnering with investment and asset teams, building dashboards and data pipelines, and delivering scalable outputs using Python, SQL, APIs and LLMs. Strong communication and governance are essential.

Qualifications

  • 3+ years in software engineering, data engineering or related tech role.
  • Undergraduate degree in CS, engineering, math or statistics preferred.
  • Strong experience with Python, SQL, APIs and data pipelines.
  • Experience building with LLMs, AI agents and enterprise AI apps.
  • Real estate or financial services experience is a plus.
  • Proven ability to translate data into actionable business outcomes.
  • Excellent written and verbal communication for business stakeholders.

Responsibilities

  • Identify high-impact AI opportunities and translate them into plans and measurable outcomes.
  • Build AI solutions using proprietary real estate data, dashboards and workflows.
  • Work hands-on with Python, SQL, APIs, databases and enterprise AI tools.
  • Ensure security, governance, testing and readiness for deployment.
  • Communicate progress and risks to senior business leaders.

Skills

Python
SQL
APIs
Data pipelines
LLMs
AI agents
Communication
Analytical thinking

Education

Bachelor's degree in Computer Science/Engineering/Mathematics/Statistics

Tools

LLMs
AI agents
APIs
Databases
Data pipelines

Job description

Blackstone Real Estate seeks an Applied AI Engineer at Associate or Senior Associate level in New York, NY. You will turn a rich real estate data environment into production-quality AI tools and workflows that support faster, better investment decisions.

Responsibilities include partnering with investment and asset teams, building dashboards and data pipelines, and delivering scalable outputs using Python, SQL, APIs and LLMs. Strong communication and governance are essential.

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