Senior Full Stack Engineer, Enterprise AI Project

🕒 November 21, 2025

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Codvo.ai

51 - 200 employees

Founded 2019

🔒 Cybersecurity

☁️ SaaS

AI • Cybersecurity • SaaS

Codvo. ai is a technology company that specializes in delivering strategic enterprise solutions through advanced AI-driven innovation. They focus on transforming enterprise data into measurable value by helping businesses accelerate growth with custom AI implementations tailored to meet the specific challenges of various industries. Their extensive service offerings include AI/ML automation, application development, data analytics, cybersecurity, and digital transformation, ensuring that organizations can thrive in a rapidly evolving digital landscape.

📋 Description

• Collaborate with team members to develop scalable, future-ready data platforms. • Solve complex data challenges with creativity and cutting-edge technology. • Experiment, learn, and thrive within a culture of innovation and collaboration. • Work on the Enterprise AI project, contributing to frontend and backend development.

🎯 Requirements

• 6+ years of overall professional experience in software engineering. • 3+ years of relevant, hands-on experience in a Full Stack role. • Bachelor's degree in Computer Science or a related technical field. • Expert-level proficiency in modern frontend development for web and mobile, using frameworks like React, React Native. • Experience building real-time conversational UIs (chatbots, assistants) and working with technologies like WebSockets. • Strong proficiency in backend development using Python, Node.js to build and deploy production-grade RESTful APIs and microservices. • Demonstrated experience with core AWS services for compute and deployment (e.g., EKS, ECS, Lambda, S3, RDS, API Gateway). • Experience with both SQL (e.g., PostgreSQL) and NoSQL databases. • Preferred Experience building complex Admin Panels, analytics dashboards, or data visualization tools. • Proven experience integrating with third-party enterprise APIs (e.g., NetSuite, Salesforce, or other CRMs) and handling complex data mapping. • Hands-on experience implementing secure authentication and authorization flows (e.g., SSO, JWT, OAuth) with AWS Cognito or IAM. • Hands-on experience with MLOps and cloud infrastructure: Docker, Kubernetes, CI/CD, and AWS Secrets Manager. • Knowledge of web accessibility standards (WCAG 2.1 AA).

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