Senior Full-stack Software Engineer

Candidates must be authorized to work in the United States full-time. We are not able to sponsor applicants for work visas at this time.

Flexible location: Work where you want to, either remotely across the U.S. or from our HQ in SF

About us: We are backed by top Silicon Valley investors and on a mission to unlock developers' full potential using the latest technologies.

What We Do: LogicMatrix AI platform helps developers learn, grow, and excel by providing intelligent code assistance, identifying areas for improvement, and fostering a collaborative learning environment.

We have a flexible, work-from-home-friendly style of operation with an on-site office that is optional.

Benefits: We offer health benefits and generous PTO packages.

Our office is dog-friendly, offers unlimited snacks and drinks, has flexible working hours (get out for the pow day!), and offers lots of rock climbing and skateboarding.

We also offer competitive:

Medical insurance

Vision insurance

Dental insurance

401(k).

At LogicMatrix AI, we are committed to being a fun, groundbreaking, and inclusive workplace.

We encourage all qualified candidates to apply regardless of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status.

Job Description:

We are seeking a Senior Fullstack Software Engineer with a strong technical background and the ability to work independently. The successful candidate will be responsible for designing and developing scalable web applications using modern technologies.

Required Skills and Experience:

• Proficiency in Next.js and React
• Experience with TypeScript and Tailwind CSS
• Strong understanding of state management (using Zustand, Redux, etc.)
• Expertise in REST API design with Node.js
• Database design experience with PostgreSQL or MongoDB
• Experience with AI/LLM integrations (focusing on implementation and understanding rather than developing machine learning models)
• Self-motivated and able to work independently with minimal supervision
• Strong attention to detail
• Excellent problem-solving skills
• Quick to learn and adapt to new technologies
  
  
  

Application Process:

To be considered for an interview, you must complete a technical task demonstrating your skills and understanding of the required technologies. This task is a prerequisite for your application. You will likely secure the position if you can complete the task successfully.

Note:

• We are open to applications from all backgrounds and experiences, provided you can demonstrate your technical abilities through the task.
• Whether or not you choose to submit, we appreciate your interest in exploring this opportunity with us.
  
  
  

We look forward to seeing your technical prowess and potentially welcoming you to our team!