Lead Data Engineer: Real-Time AI Backends (Remote)

Truelogic Software LLC; New York (NY); Remote; MXN 2,257,000 - 3,385,000; Full time

Benefits offered by this job

Remote work

Competitive USD pay

Paid time off

Autonomy

Work with US companies

Job summary

Truelogic Software LLC is hiring a Lead Data Engineer to architect and build scalable data infrastructure powering real-time insights, predictive systems, and generative AI applications. You will transform latent data lakes into active backends, drive engineering standards, and mentor a growing team in a 50/50 tech/creative setting.

The role emphasizes enterprise data architectures, vector databases, and seamless collaboration with ML, product, and creative teams across a predominantly remote,

Qualifications

• 5+ years in Data Engineering: building data pipelines and cloud infra from scratch.
• Activating data infrastructure for real-time downstream apps, beyond batch ETL/ELT or static warehousing.
• Experience with real-time, event-driven backends and vector stores (RAG).
• Deep cloud expertise across AWS, GCP, Azure and modern data stacks.

Responsibilities

• Architect and activate high-throughput, low-latency data infrastructure connecting data lakes/warehouses to AI backends.
• Transform latent data stores into active context layers and memory systems for autonomous AI agents.
• Build real-time ingestion, event-driven streaming, and retrieval pipelines for live AI apps.
• Lead data architecture standards, CI/CD, documentation, and data quality practices while mentoring engineers.
• Collaborate with ML engineers, product teams, and stakeholders to deliver production-grade data APIs.

Skills

Data pipelines

Cloud platforms

Python

SQL

Agentic AI

Tools

Snowflake

Databricks

BigQuery

Vector databases

Job description

Truelogic Software LLC is hiring a Lead Data Engineer to architect and build scalable data infrastructure powering real-time insights, predictive systems, and generative AI applications. You will transform latent data lakes into active backends, drive engineering standards, and mentor a growing team in a 50/50 tech/creative setting.

The role emphasizes enterprise data architectures, vector databases, and seamless collaboration with ML, product, and creative teams across a predominantly remote,