Full-Stack AI Platform Engineer

Pokee AI; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

Pokee AI is seeking a versatile Software Engineer to build user-facing dashboards and robust backend services for an AI workflow platform. You will work across frontend, backend, and applied AI engineering, translating complex model capabilities into intuitive dashboards and reliable production systems.

You will collaborate with AI teams to convert RL planners and models into scalable, production-ready services, while also partnering with stakeholders to translate business needs into engineering

Qualifications

• Bachelor's degree in Computer Science or a relevant technical field.
• Proficiency in JavaScript/TypeScript and modern frameworks (React, Next.js).
• Backend experience with Python or Go and designing RESTful APIs or microservices.
• Strong problem-solving abilities and a passion for scalable, high-impact systems.
• Excellent communication skills for articulating technical concepts and understanding business needs.
• Ability to quickly navigate and understand complex engineering ecosystems.

Responsibilities

• Develop and maintain web dashboards and control panels that manage complex AI agent workflows.
• Build backend services handling API integrations, agent orchestration, and system scalability.
• Collaborate with AI teams to turn RL planners and models into efficient, production-ready services.
• Partner with stakeholders to translate business needs into scalable engineering solutions.
• Drive engineering excellence through code reviews, documentation, and modern DevOps practices.
• Provide ongoing support and iteration for deployed solutions.

Skills

JavaScript/TypeScript

React

Next.js

Python

Go

RESTful APIs

Microservices

DevOps practices

Communication

Education

Bachelor's degree in Computer Science or a relevant technical field

Tools

Docker

Kubernetes

Job description

Pokee AI is seeking a versatile Software Engineer to build user-facing dashboards and robust backend services for an AI workflow platform. You will work across frontend, backend, and applied AI engineering, translating complex model capabilities into intuitive dashboards and reliable production systems.

You will collaborate with AI teams to convert RL planners and models into scalable, production-ready services, while also partnering with stakeholders to translate business needs into engineering