XenonStack is the fastest-growing Data and AI Foundry for Agentic Systems, enabling people and organizations to gain real-time and intelligent business insights.
We Deliver Innovation Through
• Akira AI – Building Agentic Systems for AI Agents
• XenonStack Vision AI – Vision AI Platform
• NexaStack AI – Inference AI Infrastructure for Agentic Systems
Our mission is to accelerate the world’s transition to AI + Human Intelligence by creating intelligent agents that seamlessly combine reasoning, perception, and action.
THE OPPORTUNITY
We are looking for an Agentic AI Engineer – Vision AI with 2–5 years of experience in computer vision, deep learning, and AI systems engineering. You will design and deploy Vision AI-powered agents capable of perception, understanding, and decision-making for enterprise use cases such as public safety, surveillance, manufacturing, and healthcare.
This role bridges AI model development with agentic orchestration, ensuring Vision AI is not just a model but an autonomous, reliable agent delivering measurable impact.
Job Roles And Responsibilities
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 energetic 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.