Software Engineer
Required Skills
React
Python
Node.js
AWS
JavaScript
Swift
Job Description
Job Title: Software Engineer
Job Type: Contractor
Location: Remote (US and Canada only)
Job Summary:
Join our customer's dynamic team as a Software Engineer, where you'll contribute to the development of cutting-edge web and cloud-based solutions. This role offers the opportunity to work remotely with a skilled group of professionals, collaborating on impactful projects using industry-leading technologies.
Key Responsibilities:
- Design, develop, and maintain robust web applications using React and JavaScript.
- Build and optimize backend services utilizing Python and Node.js.
- Deploy, manage, and scale applications on AWS cloud infrastructure.
- Collaborate with cross-functional team members to deliver high-quality software solutions.
- Conduct thorough code reviews and provide constructive feedback to peers.
- Troubleshoot, debug, and resolve technical issues efficiently.
- Contribute to the continuous improvement of development processes and best practices.
Required Skills and Qualifications:
- Expert-level proficiency in React, Python, Node.js, and JavaScript.
- Extensive experience working with AWS services in distributed environments.
- Exceptional written and verbal communication skills, with a strong attention to detail and clarity.
- Proven track record of delivering scalable and maintainable software projects.
- Solid understanding of software design principles and version control systems (e.g., Git).
- Ability to work autonomously and thrive in a remote, collaborative team setting.
- Strong problem-solving skills and adaptability to new technologies.
Preferred Qualifications:
- Previous experience in agile development environments.
- Background in DevOps practices and CI/CD pipeline automation.
- Familiarity with microservices architecture and serverless computing.
About micro1
micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.
Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We’ve raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI.