Senior Full-Stack AI Engineer

Dataminr

New York (NY)

Hybrid

USD 138,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Medical insurance
Remote options
Parental leave
Mental health benefits
RSUs

Job summary

Dataminr in New York, NY is seeking a full-stack AI software engineer to design, develop, and maintain AI-driven web applications and microservices using Python, Java, and React. You will build RESTful APIs with FastAPI/Flask, implement LLM/RAG integrations, and work across data storage with PostgreSQL/MySQL and MongoDB.

You'll collaborate with researchers and product teams to deliver scalable, production-grade systems on AWS, Docker, and containerized microservices, ensuring performance,

Qualifications

  • Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, or similar.
  • 3+ years of full-stack AI software development experience.
  • Experience with Python for backend development and JavaScript/React for frontend.
  • 2+ years of backend work with FastAPI/Flask and RESTful APIs.
  • Experience with relational and NoSQL databases.

Responsibilities

  • Design and maintain full-stack AI-driven web applications and microservices.
  • Build, deploy, and optimize RESTful APIs across distributed layers.
  • Develop frontend interfaces using React for dashboards and data visualization.
  • Integrate LLM APIs and RAG pipelines into production systems for intelligent processing.
  • Design data storage and management with PostgreSQL/MySQL and MongoDB.
  • Deploy and monitor containerized applications on AWS with Docker.

Skills

Python
Java
JavaScript/React
RESTful APIs
AWS

Education

Bachelor's degree in Computer Science/Engineering or related field

Tools

FastAPI
Flask
PostgreSQL
MySQL
MongoDB
Docker

Job description

Dataminr in New York, NY is seeking a full-stack AI software engineer to design, develop, and maintain AI-driven web applications and microservices using Python, Java, and React. You will build RESTful APIs with FastAPI/Flask, implement LLM/RAG integrations, and work across data storage with PostgreSQL/MySQL and MongoDB.

You'll collaborate with researchers and product teams to deliver scalable, production-grade systems on AWS, Docker, and containerized microservices, ensuring performance,

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