Key Responsibilities

• Develop and maintain backend services and APIs that power real-time data collection and annotation workflows.
• Build clean, responsive web interfaces for contributors to capture and review audio, video, and text data.
• Implement data processing pipelines to validate and prepare annotated datasets for ML training.
• Integrate with internal AI inference services for auto-annotation and quality checks.
• Collaborate with frontend, ML, and DevOps teams to deliver scalable, reliable, and observable systems.

Preferred Experience

• Backend: Experience designing REST APIs with attention to performance and maintainability.
• Architecture: Exposure to microservices or modular backends, event-driven design, and fault-tolerant patterns.
• Data & Storage: Experience working with Postgres/MySQL, object storage (S3/GCS/Azure), and Redis caching.
• Queues & Jobs: Familiarity with building background jobs and scheduled tasks.
• Model Integration (Nice to Have): Interest in connecting to ML inference APIs or simple model-serving endpoints.
• Frontend Touchpoints: Comfortable working with React to deliver and test end-to-end features.
• Cloud & DevOps: Experience using Docker, basic cloud deployment, and monitoring/logging tools.
• Quality & Security: Awareness of testing, code reviews, and secure API design (JWT/OAuth2).
• Domain Bonus: Exposure to audio/video data, annotation tools, or ML data pipelines (collection → labeling → evaluation).

Qualifications

• 4+ years of professional experience building backend services and frontend interfaces in production environments.
• Proficiency in Node.js/TypeScript or Python/FastAPI for backend development.
• Working knowledge of MongoDB (or similar databases), schema design, and query optimization.
• Familiarity with version control and CI/CD workflows (GitHub Actions, GitLab CI, Jenkins, etc.).
• Understanding of asynchronous communication patterns (queues, pub/sub, caching systems such as Redis or RabbitMQ).
• Collaborative mindset with experience in agile development, testing, and clean code practice