Recollia builds AI tools for medical students. Behind every answer is a backend: the data that grounds it, the cache that makes it quick, the analytics that tell us whether it helped. We need one person to own all of it.

WHERE THIS GOES
This starts as an internship with a stipend of Rs 20,000 and a possible incentive of Rs 5,000 every two weeks, depending on performance. Build a backend that is fast, cheap to run, and never the reason we slow down, and it converts into a founding engineer role with equity. We're early, so the role grows as Recollia does: more scope, bigger systems, more say in how we build.

WHAT YOU'LL OWN
• The backend architecture on AWS: services, APIs, data model, and the decisions behind them
• The data pipelines our AI runs on: content ingestion, embeddings, training and eval sets, usage events
• Latency: caching at every layer, so the product feels instant on a student's phone
• Product analytics in PostHog: what we track, what it means, and what we change because of it
• Reliability, security, and cost: uptime, student data, and the AWS bill are yours

REQUIRED





Backend and architecture
• You've owned a production backend end to end; you can defend its design and name what you'd change
• Python (FastAPI or equivalent) or TypeScript at production level: async, typing, tests
• API design, Postgres schemas and indexes, queues and background jobs
• Enough frontend (React or similar) to trace a slow screen back to the query behind it

AWS and cloud
• Core AWS in depth: VPC and IAM, ECS/Fargate or Lambda, RDS or Aurora, S3, CloudFront, SQS
• Infrastructure as code (Terraform or CDK), CI/CD, zero-downtime deploys, rollbacks
• Observability: logs, metrics, tracing, and alerts that mean something
• Cost: you read the AWS bill and know which line to cut

Latency and caching
• Caching at every layer: CDN, Redis, query caches, LLM prompt and response caches
• Invalidation done right; a fast stale answer is worse than a slow correct one
• You measure p5

📌 AI Data Engineer (India)
🏢 Recollia
📍 India