
DataCove AI offers an autonomous document intelligence platform powered by AI Agents designed to automate workflows in legal, HR, and compliance. Their 'Agent as a Service' model provides enterprise-grade security and seamless integration, offering solutions for document intelligence, phishing detection, compliance analysis, and actionable insights. The platform fuses agents, humans, and bots into orchestration layers, featuring a knowledge stack with patented AI orchestration and a core intelligence layer for AI trust and governance. Integrations include documents, databases, AI models, APIs, and enterprise analytics. Key features include agent-powered validation and reasoning, embedded enterprise privacy, seamless automation, and a modular agentic architecture, promising intelligent extraction with 99.8% accuracy and 10x faster risk detection, with implementation in 1-2 weeks. DataCove AI's business model appears to be a tiered subscription service (Basic, Business, Enterprise) with options for custom workflows and additional credits/user add-ons.

DataCove AI offers an autonomous document intelligence platform powered by AI Agents designed to automate workflows in legal, HR, and compliance. Their 'Agent as a Service' model provides enterprise-grade security and seamless integration, offering solutions for document intelligence, phishing detection, compliance analysis, and actionable insights. The platform fuses agents, humans, and bots into orchestration layers, featuring a knowledge stack with patented AI orchestration and a core intelligence layer for AI trust and governance. Integrations include documents, databases, AI models, APIs, and enterprise analytics. Key features include agent-powered validation and reasoning, embedded enterprise privacy, seamless automation, and a modular agentic architecture, promising intelligent extraction with 99.8% accuracy and 10x faster risk detection, with implementation in 1-2 weeks. DataCove AI's business model appears to be a tiered subscription service (Basic, Business, Enterprise) with options for custom workflows and additional credits/user add-ons.
About the Role
We are seeking a Technical Content Developer who can design, structure, and author high-quality learning content for professional IT courses, including AI/ML, Java, and DevOps. The ideal candidate blends strong technical depth with instructional clarity and can translate complex concepts into practical, job-ready learning material.
Key Responsibilities
• Develop end-to-end course content: curriculum outlines, lesson plans, slides, labs, assignments, and assessments.
• Create hands-on projects, real-world case studies, and capstone exercises aligned with industry needs.
• Author clear documentation, code samples, walkthroughs, and quizzes.
• Collaborate with instructors and SMEs to ensure technical accuracy and pedagogy.
• Update content regularly to reflect latest tools, frameworks, and best practices.
• Support LMS publishing standards and content formatting.
Required Skills & Expertise
• Strong command of at least one domain:
• AI/ML: Python, data preprocessing, ML algorithms, model evaluation (exposure to GenAI a plus).
• Java: Core Java, OOP, Spring/Spring Boot, REST APIs, Microservices.
• DevOps: CI/CD, Git, Docker, Kubernetes, cloud basics (AWS/Azure/GCP).
• Ability to explain concepts simply with examples and visuals.
• Experience creating technical training or documentation is preferred.
Nice to Have
• Prior experience in EdTech, bootcamps, or corporate training.
• Familiarity with LMS platforms, instructional design principles, or certification prep.
• Exposure to cloud security, automation, or MLOps.
Apply :
Send your application with your Portfolio and 2-3 lines on Why we should hire you to :- akansha@datacove.ca