AI Intelligence Platform Engineer — Remote

Medium

New York (NY)

On-site

USD 90,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Competitive Salary
Health Insurance
401(k)
Remote Work Environment
Parental Leave

Job summary

Medium seeks a skilled individual to lead the development of our intelligence layer, connecting marketing and data engineering.

As a pivotal member, you will create and maintain systems that aggregate data from various sources into structured intelligence. Applicants should possess advanced knowledge in Python, full-stack development, and experience with APIs. This role focuses on real-time application, ensuring teams achieve actionable insights efficiently.

Offering competitive salary and remote work flexibility, we encourage talented problem solvers who thrive in dynamic environments.

Qualifications

  • Experience building systems that integrate multiple data sources.
  • Ability to communicate complex data findings to non-technical teams.
  • Previous work as a founding engineer or independent builder.

Responsibilities

  • Build and maintain systems for collecting and analyzing data.
  • Design data pipelines from multiple sources for actionable insights.
  • Create full-stack apps that provide real-time intelligence.

Skills

Python
Active GitHub
REST and GraphQL API
SQL
Full-stack development
LLM API usage
Vector databases and RAG

Tools

No-code tools (Make, n8n, Zapier)
Dune Analytics

Job description

Medium seeks a skilled individual to lead the development of our intelligence layer, connecting marketing and data engineering.

As a pivotal member, you will create and maintain systems that aggregate data from various sources into structured intelligence. Applicants should possess advanced knowledge in Python, full-stack development, and experience with APIs. This role focuses on real-time application, ensuring teams achieve actionable insights efficiently.

Offering competitive salary and remote work flexibility, we encourage talented problem solvers who thrive in dynamic environments.

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