Full-stack Engineer-GO React

Beehive AI, Inc.; United States; Remote; USD 100,000 - 180,000; Full time

Job summary

Beehive AI, Inc. is seeking a versatile engineer to design, build, and maintain scalable data pipelines feeding its AI-driven dashboard. You will implement features with generative AI insights and integrations, deliver microservices end-to-end, and collaborate with customers to understand data needs.

The ideal candidate has 2+ years in Go and TypeScript, experience with React/Vue, a strong grasp of relational databases, and proficiency in Docker/Kubernetes across AWS/Azure/GCP environments.

Qualifications

• 2+ years of production-level experience in Go or a similar language.
• 2+ years of experience in TypeScript and frontend frameworks (React/Vue).
• Experience with relational databases (PostgreSQL or MySQL).
• Experience with cloud technologies and container orchestration (Docker, Kubernetes).

Responsibilities

• Design, build, and maintain scalable data pipelines that feed the dashboard.
• Add features such as generative AI insights and integrations to the dashboard.
• Own feature delivery end-to-end and release multiple microservices.
• Collaborate with Beehive AI customers to understand data requirements and requests.

Skills

Go

TypeScript

React

Vue

Distributed systems

Cloud platforms

Tools

PostgreSQL

MySQL

AWS

Azure

GCP

Docker

Kubernetes

Job description

Beehive AI is a generative AI insights platform designed specifically for an organization’s unique qualitative data. With self-learning language models, validated by human experts, and built-in statistical analysis, research and insights leaders can quickly, accurately, and safely analyze their qualitative data, and combine it with quantitative data, to generate more robust customer insights.

At Beehive AI, we are on a mission to help organizations reimagine customer centricity - to restore the human element of their relationship with their customers by enabling deep, meaningful - and measurable - dialogue, at scale. We believe that generative AI can enable this dialogue at scale by unlocking the value of qualitative data, but it requires a unique approach that puts the business and its customers at the center.

Beehive AI’s generative AI insights platform ingests data from any insights program running in the organization, breaking down silos between data sets and creating a more consistent approach to analysis. Unlike traditional ML/NLP tools that require manual setup and maintenance or new generative AI innovation that rely on generic LLMs and can put your corporate data at risk , Beehive AI uses generative AI and LLMs that are designed specifically for your organization, so you can safely and easily analyze qualitative data at scale, combine it with your quantitative data, and generate robust insights that more accurately reflect your business and your customer at any given point in time

About the Position

In this role, you will develop, scale, and maintain our dashboard and the lower-layer data services and infrastructure that fuel the platform’s analysis and insight-generation capabilities. You will work with people within engineering and Beehive AI customer accounts to identify and build the necessary data integrations and connectors so research and insights leaders can easily analyze all forms of qualitative data and generate the insights needed for business decisions and action-taking.

Requirements

What You Will Do

Design, build, and maintain scalable data pipelines that ingest the data that runs our dashboard

Add features such as generative AI insights and integrations to other platforms into our dashboard to provide more actionable insights and the best user experience

Own feature delivery end-to-end and release multiple microservices

Collaborate within Beehive AI to understand our customers’ data requirements and requests

About You

2+ years of production-level experience in Go or a similar language

2+ years of experience in TypeScript and frontend frameworks (e.g., React, Vue)

Production-level experience working with relational databases (e.g., PostgreSQL or MySQL)

Experience with cloud technologies - AWS, Azure, GCP, Docker, Kubernetes

Experience and passion for analyzing, scaling, and debugging distributed systems

You take a focused, organized approach to development, testing, and quality

You're passionate about what you're doing and ignite people around you

You never use the words: "That’s how it’s always been done"

We encourage you to drop us a line even if you don’t have all the points above. That's a lot of different areas of responsibility!

Beehive AI believes in equal opportunity and that inclusiveness and diversity promotes innovation. Our global team members are from a variety of cultures and backgrounds, and we welcome different perspectives and skills.

Bonus Points

Experience in working with large data sets in real-time

Experience working in an agile environment (Scrum, Kanban, etc.)

Personal projects or contributions to open-source projects