Remote Full-Stack AI Engineer (React/Python)

Dataminr; New York (NY); On-site; USD 138,000 - 160,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

Remote working options

Equity (RSUs)

Generous PTO and parental leave

Job summary

Dataminr, a New York-based AI company, seeks a highly skilled full-stack engineer to build AI-driven web apps and microservices using Python, Java, and React. You will deploy RESTful services with FastAPI/Flask, integrate LLMs and RAG pipelines, and craft researcher dashboards with data visualization.

Responsibilities include scalable data storage with PostgreSQL/MySQL/MongoDB, Dockerized deployments on AWS, and collaboration with AI researchers to deploy production-grade AI models.

Qualifications

• Bachelor's degree in computer science or related field with 3+ years of full-stack AI software development experience.
• Experience building backend services with Python/Java and modern web frameworks.
• Proficiency in frontend development with JavaScript and React.

Responsibilities

• Design, develop, and maintain full-stack AI-driven web apps and microservices with Python, Java, and React.
• Build and optimize RESTful APIs using FastAPI/Flask across distributed systems.
• Develop frontend dashboards and data visualization components.
• Integrate LLM APIs and RAG pipelines for intelligent document processing.
• Design data storage with PostgreSQL/MySQL and MongoDB; ensure data integrity.
• Deploy and monitor Dockerized microservices on AWS with scalable practices.
• Collaborate cross-functionally to deliver end-to-end platform components.

Skills

Python

Java

React

REST APIs

NLP

Elasticsearch

LangChain

NLP techniques

Education

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

Tools

FastAPI

Flask

PostgreSQL

MySQL

MongoDB

Docker

AWS S3

Job description

Dataminr, a New York-based AI company, seeks a highly skilled full-stack engineer to build AI-driven web apps and microservices using Python, Java, and React. You will deploy RESTful services with FastAPI/Flask, integrate LLMs and RAG pipelines, and craft researcher dashboards with data visualization.

Responsibilities include scalable data storage with PostgreSQL/MySQL/MongoDB, Dockerized deployments on AWS, and collaboration with AI researchers to deploy production-grade AI models.