Full Stack AI Engineer

Company Description Bytescare is shaping the future of brand protection by replacing slow, manual processes with scalable intelligent automation. The company safeguards digital brands end-to-end, monitoring, detecting, and eliminating threats across a wide range of online platforms. Powered by a proprietary Tri-Layer Verification Engine, Bytescare delivers high-accuracy threat detection with zero false takedowns and deep OSINT investigations to identify and neutralize infringers. Its core solutions span brand protection, digital piracy prevention, identity theft defense, reputation management, and counterfeit protection. With over 200 global brands protected and more than 10 million piracy links removed, Bytescare offers a secure environment for digital assets to thrive.
Role Description As a Full Stack AI Engineer at Bytescare, you will design, build, and maintain end-to-end web applications that power our brand protection and AI-driven automation platforms. In this full-time remote role, you will implement both front-end interfaces and back-end services, integrate AI/ML models into production systems, and ensure secure, scalable, and performant deployments. You will collaborate with product managers, data scientists, and security specialists to translate business requirements into technical solutions and to enhance our threat detection and verification engines. Daily responsibilities include developing new features, improving existing functionality, writing clean and testable code, monitoring system performance, and participating in code reviews. You will also help refine development best practices, contribute to architecture decisions, and support continuous improvement of our engineering workflows.
Qualifications
Candidates should possess strong skills in Back-End Web Development and Software Development for building scalable APIs and microservices.
Candidates should possess skills in Front-End Development and Cascading Style Sheets (CSS) to create responsive, accessible user interfaces.
Candidates should possess Full-Stack Development capabilities to integrate front-end and back-end systems into cohesive, production-ready applications.
Experience deploying and integrating AI/ML models into web applications, including working with modern ML frameworks and inference services.
Proficiency with modern programming languages and frameworks (e.g., Python, JavaScript/TypeScript, Node.js, React, or similar).
Knowledge of RESTful APIs, databases (SQL/NoSQL), cloud platforms, and containerization (e.g., Docker, Kubernetes) is highly beneficial.
Strong understanding of security best practices, performance optimization, and monitoring in production environments.
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Effective communication skills, ability to work collaboratively in distributed teams, and a proactive approach to problem solving.

Work arrangement
Yes