ML/Backend Engineer — Knowledge Graphs & LLM Pipelines

Jobzhr; New York (NY); Hybrid; USD 140,000 - 155,000; Full time

Benefits offered by this job

Health insurance coverage

Retirement savings plan

Paid holidays

Paid time off

Job summary

Link Logistics Real Estate is hiring a hybrid ML/Backend Engineer to own the intelligence layer of the Analytics Engine. You will design pipelines to bring diverse real estate data to life, build knowledge graphs, and surface insights to investment teams in real time.

You will work with analysts to identify analytical gaps and craft end-to-end systems that blend ML, graph reasoning, and LLM-native workflows.

Qualifications

• Strong Python skills and experience shipping ML-powered applications in production.
• Experience with knowledge graphs or graph databases.
• Proficiency building data pipelines at scale and creating analyst trust.

Responsibilities

• Design graph-based data structures for relationships across markets, assets, tenants, and transactions.
• Develop ML workflows and prompt engineering pipelines for investment analytics.
• Build ETL/ELT pipelines ingesting and normalizing large datasets with clear ownership and SLAs.
• Implement data provenance, lineage, and confidence scoring for outputs.
• Develop and maintain backend APIs and services with low latency and reliable contracts.

Skills

Python programming

ML engineering

Backend development

LLM workflows

Tools

Neo4j

Spark

Databricks

Job description

Link Logistics Real Estate is hiring a hybrid ML/Backend Engineer to own the intelligence layer of the Analytics Engine. You will design pipelines to bring diverse real estate data to life, build knowledge graphs, and surface insights to investment teams in real time.

You will work with analysts to identify analytical gaps and craft end-to-end systems that blend ML, graph reasoning, and LLM-native workflows.