QOVES

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

About QOVES

We make software that helps patients and clinics diagnose, plan, and visualize how to improve their appearance. Our AI-driven tools are used by cosmetic medical clinics worldwide. We’re VC funded, profitable, and building the next evolution of our backend platform.

This is a remote role for strong individual contributors. You’ll work alongside our core London team, focusing on executing backend improvements, resolving complex bugs, and implementing new services designed by our architecture group.

We move quickly and value engineers who are meticulous, reliable, and thrive in a structured environment where every week brings a new system to strengthen or untangle.

Your Day-to-Day

• Fix real-world issues: investigate and patch production bugs such as segmentation failures, model timeouts, malformed API payloads, or broken async tasks — ensuring quick turnaround and robust solutions.
• Implement new features and services: turn technical design docs or ADRs into working backend code — whether building FastAPI endpoints, integrating a queue consumer, or wiring up a new AI microservice.
• Refactor and modernize legacy code: take older Django logic and gradually migrate it to cleaner, modular patterns (Celery workers, service boundaries, async APIs).
• Maintain reliability: add metrics, tracing, and error handling so your fixes are observable and measurable in production.
• Participate in small-scale refactors: support the architecture team by executing structured migration tasks (e.g., breaking monolith views into APIs, moving tasks into queues, adding retries).
• Write clean, testable code: follow established patterns, maintain consistency, and document your work clearly for the next engineer.
• Collaborate asynchronously: communicate clearly through PRs, design comments, and Slack updates across time zones.
• Contribute to stability: help improve CI/CD pipelines, identify recurring issues, and propose tactical fixes that improve overall reliability.

What You’ll Work With

• Stack: Python, Django/DRF, FastAPI, Postgres (master + read replicas), Redis, Celery/RQ, RabbitMQ/SQS
• Infra: Docker, Kubernetes/ECS, AWS, GitHub Actions, OpenTelemetry, SigNoz/Grafana
• Tools: Linear, Notion, Slack, internal CI/CD via Dokploy

What You Bring

• 5–10 years of backend development experience in Python (Django/DRF or FastAPI).
• Strong debugging skills — you’re comfortable fixing production issues quickly and safely.
• Experience executing from technical design docs or ADRs and delivering reliable, high-quality code.
• Practical understanding of queues, background jobs, retries, idempotency, and distributed system basics.
• Solid database knowledge — Postgres schema design, migrations, and query optimization.
• Comfortable working asynchronously with teams across time zones.
• Bonus: OpenCV or computer vision exposure, or experience integrating LLM/AI microservices.

What Success Looks Like

• You’ve resolved production issues that previously took hours to debug.
• You’ve implemented a new backend service end-to-end following an ADR.
• You’ve refactored messy legacy code into clean, testable modules.
• You’ve added metrics that make performance bottlenecks visible and actionable.
• You’ve earned trust by delivering stable, maintainable code week after week.

Compensation & Setup

• Competitive global salary
• Equity options
• Performance and quarterly bonuses
• Home-office stipend & hardware budget
• Learning and professional development support

Remote-first. Preference for candidates within ±4 hours of London (GMT).

Applications Closing : 21st Oct

C2 / Native English Required. Your communication skills are extremely important given this a remote role.