Principal AI Engineer - Computer Vision

Key Responsibilities

Agent Framework & Libraries

• Architect modular Python libraries and a CLI that expose core agent primitives—task graphs, skills, memory, and tool interfaces.

Orchestration & Scheduling

• Implement a scalable orchestration layer (Celery, Argo Workflows, Prefect, or similar) that runs multi‑step CV pipelines with retry, rollback, and SLA guarantees.
• Integrate vector and hybrid search stores so agents can retrieve data during execution.

Tooling & Developer Experience

• Create CLI utilities and REST/gRPC APIs that let engineers trigger, inspect, and debug agent runs.
• Maintain CI/CD pipelines, comprehensive test suites, and infrastructure‑as‑code so the agent platform ships reliably on a bi‑weekly cadence.

Integrate CV Toolkits

• Wrap best‑in‑class vision components (OpenCV, TorchVision, MMDetection, Ultralytics YOLO, Albumentation...