Junior Backend Engineer to $4000

About QOVES
QOVES is a cutting-edge biomedical startup dedicated to transforming cosmetic consultations through innovative, AI-powered software. We're VC funded, established & profitable and are looking for only the best engineers to join our growing, efficient team.

We develop tools that predict post-surgery appearances and assist in clinical decision-making, aiming to help patients make better decisions on going ahead with cosmetic surgeries.
 

The Role
We’re seeking a moderately experienced Junior Backend Developer with 3 years of professional experience. While we have a strong preference for candidates with deep Django & FastAPI expertise, we welcome applicants with robust backend skills in other frameworks if they can demonstrate equivalent proficiency and experience.

In this role, you will:

• Architect & Build: Design, develop, and maintain backend systems for our SaaS platform using Django (or comparable frameworks) and RESTful API standards.

   

• Integrate AI & Computer Vision: Collaborate with AI engineers to seamlessly integrate computer vision modules (e.g., GLCM, SWFT transformers) and Large Language Models into production systems.

   

• Innovate with LLMs: Develop creative solutions for prompt engineering, ensuring structured outputs like JSON are efficiently generated to meet application needs.

   

• Deploy & Optimize: Configure and manage environments to deploy prebuilt AI models, ensuring scalability, security, and reliability. While you’ll work with a dedicated DevOps team, you should be capable of setting up and running your own test environments when needed.

   

• Collaborate & Lead: Engage in code reviews, drive architectural discussions, and mentor team members to uphold high standards in coding and system design.

   

• Problem-Solve: Tackle complex backend challenges with innovative, scalable solutions that continually enhance system performance

   

Required Qualifications

• Experience: 3-5 years in Python development and backend engineering.

   

• Core Skills: Proven expertise in Django and Django REST Framework, or a strong background in comparable backend frameworks.

   

• API & Microservices: Demonstrated experience in designing and implementing RESTful APIs and microservices.

   

• Technical Breadth: Familiarity with computer vision techniques (e.g., GLCM, SWFT transformers) and the integration of Large Language Models, including prompt engineering for structured data outputs.

   

• DevOps & CI/CD: Ability to deploy and manage AI models with tools like Docker, Kubernetes, or equivalent systems; proficient with Git-based version control and collaborative workflows.

   

• Education: A Bachelor’s Degree in Computer Science or a related field—or equivalent practical experience.

   

Preferred Qualifications

• Startup Experience: Adaptability and resilience in fast-paced, iterative development environments.

   

• Machine Learning Pipelines: Experience with frameworks like TensorFlow, PyTorch, or similar.

   

• Cloud Proficiency: Practical knowledge of deploying and scaling services using AWS, GCP, or Azure.

   

• Testing & Automation: Proficiency in unit testing, integration testing, and managing CI/CD pipelines.

   

• Security & Performance: A strong grasp of best practices for securing APIs and optimizing backend performance.

   

Our Culture & Benefits

• Impact: Play a pivotal role in solving real-world healthcare challenges with advanced technology.

   

• Innovation: Work in a dynamic, meritocratic environment where the best ideas win.

   

• Growth: Join a well-funded startup with a clear vision for success and significant opportunities for professional development.

   

• Benefits Include:
  • Competitive Salary
  • Equity Options
  • Performance and Quarterly Bonuses
  • Flexible Work Arrangements (Hybrid or Remote)

  • Professional Development Opportunities

     

Application Process
Selected candidates will be invited to submit a 30-second video introduction. These will serve as key criteria in our initial screening process, preceding the final interview.

Location & Timeline

• Remote: Strong candidates are welcome to work remotely.
• Application Deadline: 1/11/2025
• Expected Start Date: 20/11/2025