Full-Stack ML Engineer (React/Python) - Equity Eligible

Collinear AI; United States; On-site; USD 150,000 - 250,000; Full time

Benefits offered by this job

Equity

Benefits

Bonuses

Job summary

Collinear AI is seeking a Software Engineer (Machine Learning) to build scalable web applications using React/Next.js on the frontend and Python/FastAPI on the backend. You will work with DevOps tools to enable CI/CD pipelines and deploy AI/ML/NLP-enabled features.

The ideal candidate has hands-on experience with React/Next.js, Python, FastAPI, and containerized deployments in Jenkins/AWS/Docker/Kubernetes environments, plus a passion for testing and collaboration.

Qualifications

• Full stack development with a frontend/backend focus.
• Strong experience with React/Next.js and Python (FastAPI).
• DevOps exposure with CI/CD pipelines and containerization.
• Experience with testing frameworks and TDD.
• Experience collaborating with cross-functional teams and AI/ML/NLP projects.

Responsibilities

• Develop scalable, responsive web applications using React/Next.js.
• Build backend services with Python and FastAPI, ensuring reliability and scalability.
• Collaborate with cross-functional teams to define features and updates.
• Implement CI/CD with Jenkins, AWS, Docker, and Kubernetes.

Skills

Frontend development

Backend development

TDD testing

Problem solving

Collaboration

Open source contributions

Education

Bachelor’s or Master’s in CS/Engineering

Tools

React

Next.js

FastAPI

Jenkins

AWS

Docker

Kubernetes

SQL

NoSQL

GitHub

Job description

Collinear AI is seeking a Software Engineer (Machine Learning) to build scalable web applications using React/Next.js on the frontend and Python/FastAPI on the backend. You will work with DevOps tools to enable CI/CD pipelines and deploy AI/ML/NLP-enabled features.

The ideal candidate has hands-on experience with React/Next.js, Python, FastAPI, and containerized deployments in Jenkins/AWS/Docker/Kubernetes environments, plus a passion for testing and collaboration.