Key Responsibilities

• Design and implement scalable agent-driven systems to automate Computer Vision MLOps workflows (training, deployment, evaluation)
• Develop robust APIs and backend services that enable agent orchestration, memory management, and cross-component communication
• Integrate vector databases, data quality validation, and semantic search to power intelligent agent behavior
• Own the end-to-end software lifecycle: from development to testing, CI/CD automation, and cloud deployment
• Build for reliability and maintainability: logging, monitoring, and exception handling are part of your design thinking
• Optimize performance and cost in storage and compute, especially for vision-specific workloads
• Work with researchers and domain experts to translate state-of-the-art ideas into working code

Must-Have Skills

• 5+ years of hands-on software engineering experience, with at lea...