Founding Full-Stack Data Engineer for AI Infra

AfterQuery

San Francisco (CA)

On-site

USD 110,000 - 220,000

Full time

14 days+
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Benefits offered by this job

Competitive salary
Equity opportunities
Strong team environment

Job summary

A pioneering AI research lab in San Francisco seeks a core engineer to build and scale its data infrastructure from day one. You'll work with cutting-edge technology in a founding role, responsible for developing data pipelines and workflows across web and desktop. The position offers a competitive salary, equity, and the chance to lead a growing team. Ideal candidates are proficient in JavaScript and Python, with experience in serverless architecture and data processing. Join a team with backgrounds from top tech firms.

Qualifications

  • Demonstrated experience building full-stack web applications.
  • Experience implementing heavy data processing using cloud functions.
  • Experience in architecting data pipelines for high throughput.

Responsibilities

  • Build and scale data capturing workflows across web and desktop.
  • Optimize data pipelines with heavy loads.
  • Collaborate on product strategy and feature delivery.
  • Set engineering best practices.

Skills

Proficiency in JavaScript (Next.js)
Proficiency in Python
Experience with serverless architecture
Hands-on with Redis
Hands-on with Elasticsearch
Experience with message queues (Kafka/RabbitMQ)
Background in AI research
Experience getting ideas into production

Tools

Next.js
GCP
AWS

Job description

A pioneering AI research lab in San Francisco seeks a core engineer to build and scale its data infrastructure from day one. You'll work with cutting-edge technology in a founding role, responsible for developing data pipelines and workflows across web and desktop. The position offers a competitive salary, equity, and the chance to lead a growing team. Ideal candidates are proficient in JavaScript and Python, with experience in serverless architecture and data processing. Join a team with backgrounds from top tech firms.
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