Remote AI-Driven Fullstack Engineer (LLM/Cloud)

G-P

United States

On-site

USD 118,000 - 147,000

Full time

14 days+

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Benefits offered by this job

Generous paid parental leave
Flexible time off
Medical insurance
Dental insurance
Vision insurance
Sabbatical after 5 years
Spending accounts

Job summary

G-P is seeking a Fullstack AI Engineer to craft AI-powered web applications with an entrepreneurial mindset. You will work on frontend and backend, integrating LLMs and cloud services to deliver scalable, production-grade solutions.

You’ll collaborate with cross-functional teams to shape features and the product vision. You will design and deploy robust AI workflows, optimize performance, and ensure a seamless user experience while contributing to cloud architecture and CI/CD pipelines.

Qualifications

  • Degree in CS, engineering or related field.
  • Experience with fullstack web development using React/Next.js/TypeScript.
  • Proven experience integrating Generative AI, LLM APIs and vector databases.
  • Strong UI/UX sensibilities and user-centered design approach.

Responsibilities

  • Design, develop, and deploy scalable AI-powered web apps.
  • Collaborate with product managers, designers, and data scientists.
  • Manage cloud deployment, optimize model and app performance.
  • Integrate LLM APIs and backend services; build RESTful APIs.

Skills

React
Next.js
TypeScript
LLM APIs
Python
Node.js
Go
AWS
CI/CD
RAG architectures
Cloud deployments

Education

Bachelor’s or Master’s in Computer Science or Engineering

Tools

OpenAI API
Anthropic API
Bedrock
Vector databases

Job description

G-P is seeking a Fullstack AI Engineer to craft AI-powered web applications with an entrepreneurial mindset. You will work on frontend and backend, integrating LLMs and cloud services to deliver scalable, production-grade solutions.

You’ll collaborate with cross-functional teams to shape features and the product vision. You will design and deploy robust AI workflows, optimize performance, and ensure a seamless user experience while contributing to cloud architecture and CI/CD pipelines.

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