Build Workers AI Engine – AI Image Analysis + Telemetry Processor for CCTV Health Monitoring

We are looking for an experienced backend / AI engineer (or team) to build the first production version of Workers AI, the intelligence engine behind our commercial CCTV health monitoring product: Surveillance Guardian. Surveillance Guardian receives snapshots and telemetry from on-site devices. Workers AI will analyse images, process hardware telemetry, compute health scores, and return actionable alerts to our platform. This project includes: ⸻ Project Scope 1. API Development (FastAPI / Node / Similar) • Create a secure Workers AI API. • Endpoints to receive: • Camera snapshots (already stored by our API server — Workers AI retrieves them via URL). • Telemetry data from on-site SG Edge devices. • Endpoints for our platform to fetch: • Latest camera health status. • Time-series metrics. • Alerts. ⸻ 2. Ingest & Processing Pipelines Implement two asynchronous pipelines: A. AI Image Analysis Pipeline • Fetch snapshot from our API server (URL-based). • Preprocess image. • Run AI/ML models or deterministic algorithms to detect: • Blur / sharpness • Noise (banding, lines) • Occlusion / blocking • Exposure problems • Fog/condensation • Glare • IR reflection • Colour cast • FOV tampering (baseline + SSIM) • Produce image metrics + issue flags and store them. B. Telemetry Processing Pipeline • Normalise and score hardware data: • Temperature • Bitrate • Frame rate • Network errors • Motor faults • SD card health • Firmware version • Uptime ⸻ 3. Health Scoring Engine Combine latest image metrics + telemetry to calculate: • Image Health (0–100) • Hardware Health (0–100) • Network Health (0–100) • Overall Health Score Return: • Status (OK / Warning / Critical) • Primary issue cause ⸻ 4. Alerts Engine Trigger alerts based on rules such as: • Overheat • Dirty lens • Low bitrate • FOV tamper • Sudden health drop • Telemetry out of spec Alerts must be written into a DB and returned via API. ⸻ 5. Storage Layer Developer may choose appropriate stack (we prefer Postgres + Timescale or Postgres + InfluxDB): • Timeseries data: metrics & scores • Metadata: cameras, sites, alerts • Snapshot references: URLs (no binary storage required) ⸻ Deliverables • Fully functioning Workers AI backend • API documentation (Swagger/OpenAPI) • Dockerised services • Database schema • Health scoring logic • Alerting rules engine • Deployment guide ⸻ Bonus Points (Not required but helpful) • Experience working with CCTV, ISAPI, or image processing • Ability to optimise AI models (ONNX Runtime) • Predictive analytics (simple regression or GBT models) ⸻ ✔️ Requirements • Strong backend experience (Python/Node) • Experience with queues (RabbitMQ / Redis Streams / Kafka) • AI image processing knowledge (OpenCV, ONNX) • Solid database architecture • Good communication and documentation skills ⸻ About Us We build intelligent monitoring systems for the fire & security industry. Workers AI will power the next generation of fully automated CCTV system health checks. Long-term collaboration available for the right developer/team. Apply tot his job