Software Engineer - 2

We are looking for a strong Backend Engineer with deep experience in building scalable, reliable backend services. You may come from a Python/FastAPI background or a Node.js/Express background; both are equally welcome. The role focuses on backend engineering for AI-driven workflows, distributed systems, real-time pipelines, and audio/video processing. Frontend experience is optional and only needed occasionally.

Responsibilities

• Design, build, and maintain backend services using Python (FastAPI) or Node.js (Express).
• Work on AI engineering components, including agents, pipelines, and model integrations.
• Build and optimise async, event-driven architectures using queues and pub/sub.
• Develop and maintain real-time systems using WebSockets and WebRTC.
• Implement and optimise audio/video workflows (processing, analysis, feature extraction).
• Work with Redis, MongoDB, and caching layers in distributed setups.
• Ensure services are scalable, reliable, observable (logging, tracing, metrics).
• Collaborate with AI, DevOps, frontend, and product teams to deliver end-to-end features.
  
  

• You must be strong in one of the two backend tracks below: Track A, Python Backend, Python programming, FastAPI, asyncio, Async/event-driven backend experience, Track B, Node.js Backend, Node.js programming, Express.js, NestJS (optional), Async/event-driven backend experience.
• Common Must-Haves (for both tracks): - Distributed system design: queues, pub/sub, caching.
• Experience with Redis and MongoDB.
• Real-time systems: WebSockets, WebRTC.
• Ability to write scalable, clean backend code.
• Strong debugging and performance optimisation skills.
• Audio/video processing experience (FFmpeg, OpenCV).
• AI/LLM engineering: LangChain, RAG, MCP.
• Kubernetes, Docker, CI/CD.
• Monitoring tools: Grafana, Prometheus, Loki.
• Proctoring-related experience (face/object detection).
• Cloud platforms: AWS/GCP/Azure.
  
  

• Not mandatory. We will hire even if the candidate has minimal FE experience.
• Basic familiarity with React + Next.js.
• Ability to assist in small UI tasks when needed.
  
  

• Ownership and problem-solving mindset.
• Strong communication and documentation.
• Ability to collaborate across AI, FE, DevOps, and product teams.