Full Stack Developer (Remote, Contract)

OUR HIRING PROCESS:

• We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
• We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
• At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
• From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. After all, we consider our team members our family, and we want you to feel comfortable and welcomed.
  
  INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy

 

We are looking for an experienced Full Stack Developer to join our Research and Development (R&D) team. In this role, you will play a key part in designing, developing, and deploying innovative, cutting-edge software solutions. You will work closely with our R&D team to create and improve products that drive technological advancements within the company. As a Full Stack Developer, you'll be responsible for both front-end and back-end development, helping to shape the direction of our R&D projects with your technical expertise.

Responsibilities:

1. Full Stack Development:
• Design and develop both front-end and back-end components of web applications, ensuring high performance, scalability, and security.
• Collaborate with R&D teams to understand technical requirements and translate them into efficient, user-friendly applications.
• Develop and implement solutions that integrate machine learning and AI models into product functionality to improve system automation and performance.
2. Architecture & System Design:
• Contribute to the architectural design and decision-making process, ensuring the solutions are scalable, maintainable, and meet business needs.
• Design and implement RESTful APIs, integrate third-party services, and work with databases to create end-to-end solutions.
• Focus on developing functionality that facilitates seamless interaction with AI models and data-driven decision-making processes.
3. Cross-Functional Collaboration:
• Work closely with data scientists, product managers, UX/UI designers, and other engineers to deliver high-quality solutions.
• Participate in brainstorming sessions and contribute to the development of new features and innovations.
• Ensure that AI and data automation solutions are integrated efficiently into product workflows.
4. Automation & Process Optimization:
• Primary Task: Automate processes, including data collection, processing, and optimizing existing workflows to speed up system performance.
• Work on improving data handling for large-scale systems, automating routine tasks, and optimizing backend processes for better efficiency.
• Integrate AI models to enhance data processing and automate business-critical operations.
5. Code Quality & Best Practices:
• Write clean, maintainable, and efficient code while adhering to coding standards and best practices.
• Implement testing frameworks and ensure thorough unit and integration testing across the full stack.
• Maintain and improve the quality of both front-end and back-end systems, ensuring they scale effectively.
6. Troubleshooting & Debugging:
• Diagnose and resolve technical issues quickly, ensuring that applications run smoothly and efficiently.
• Analyze and optimize performance bottlenecks and resolve issues across the stack, with a particular focus on system automation and data handling.
7. Continuous Learning & Innovation:
• Sta