Agentic AI Engineer

Agentic Vision AI Development

• Design and implement Vision AI agents that combine perception models with reasoning and action.

• Integrate LLMs and multimodal models with computer vision systems for richer decision-making.

• Build dynamic workflows for Vision AI agents to adapt to evolving environments.

Model Training & Optimization

• Train and fine-tune deep learning models for object detection, tracking, activity recognition, anomaly detection.

• Optimize models for real-time inference on cloud and edge devices.

• Implement model compression, quantization, and deployment pipelines.

Deployment & Orchestration

• Deploy Vision AI agents on edge devices, cameras, and cloud-native platforms.

• Collaborate with Platform and AgentOps engineers to ensure reliability, scalability, and observability.

• Integrate Vision AI systems with enterprise data streams and workflows.

Responsible AI & Quality

• Ensure Vision AI agents adhere to safety, fairness, and compliance standards.

• Build evaluation pipelines for accuracy, bias, and real-world robustness.

  • Document best practices and create reproducible workflows for enterprise customers.